SOURCE PUBLICATION LEVEL ARTICLE TYPE YEAR MONTH ONLINE DATE PRINT DATE AUTHOR ADDRESS HOME AUTHOR SCHOOL HOME AUTHOR LOCATION VOL NO ISS NO B PAGE E PAGE SNIP SJR IF CITE SCORE Q RANK(SCS) Q RANK(WOS) P ISSN E ISSN P ISBN E ISBN ABSTRACT TECHNOLOGYAREAS LINK DOI
Procedia Computer Science International Journal 2025 2 Kesavan Sujatha [325459], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|R S Ponmagal, SRM Institute of Science and Technology, Chennai, India, Not Available, Computer Science and Engineering|Prameeladevi Chillakuru, Velammal Institute of Technology, Chennai, India, Not Available, Not Available|Jayalatsumi Umapathy [326239], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electronics and Communication Engineering|N Janaki, Vels Institute of Science, Chennai, India, Not Available, Electrical and Electronics Engineering|N P G Bhavani, Saveetha Institute of Medical and Technical Sciences, Chennai, India, Not Available, Electronics and Communication Engineering Chennai 252 1 6 0.871 0.505 4.500 Q2 1877-0509 1877-0509 This research presents a new combined deep learning system for effective and reliable identification of plant diseases in complicated agricultural environments. One of the most difficult jobs in agriculture is identifying plant diseases early on. Early disease detection in plants is crucial for increasing agricultural yield. With the application of machine learning and deep learning techniques, this issue has been resolved. Large crop farms can now detect plant illnesses automatically, which is advantageous as it reduces the monitoring time. The suggested approach consists of multiple important stages. To begin with, image quality of the agricultural lands is improved through preprocessing techniques like noise reduction, gamma correction and white balancing. Data augmentation is incorporated to expand the dataset and improve the generalization capacity of the model. Efficient methods such as EfficientDet and Squeeze Net, as well as color and shape based features, are included in feature extraction. The most relevant features are selected by a Hybrid Optimization Algorithm (HOA), which integrates Mother Optimization Algorithm (MOA), Teaching learning-based optimization (TLBO) and Improved Wild Horse Optimization to detect the various plant diseases like Bacterial Blight, Tungro, Blast and Brown spot. At last, a deep learning detector, which may include Recurrent Convolutional Neural Networks (R-CNNs) and Recurrent Neural Network (RNN), identifies the location and type of objects. The use of hyper parameter tuning techniques is also implemented to avoid over fitting and improve the overall generalization. This comprehensive approach depicts encouraging results in overcoming challenges in plant disease detection Machine Learning,Artificial Intelligence,Ecology,Agriculture,Algorithm,Computation,Biology,Computer Science https://doi.org/10.1016/j.procs.2024.12.001 10.1016/j.procs.2024.12.001
Convergence of Internet of Medical Things (IoMT) and Generative AI Book Chapter 2025 1 01/01/9999 00:00:00 01/01/2025 00:00:00 E Kavitha, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Humanities and Sciences, Physics|G Kavitha [327188], Dr. MGR Educational and Research Institute, Chennai, India, Not Available, Not Available|D SenthilKumar, RMK College of Engineering and Technology, Thiruvallur, India, Not Available, Not Available|Mythreyee Madhavan [326784], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Swapna B [325455], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electronics and Communication Engineering|P Jagadeesan, R M D Engineering College, Thiruvallur, India, Not Available, Not Available|Kamalahasan Murugan [326489], Dr. MGR Educational and Research Institute, Chennai, India, Research Centres, Advanced Research Institute|A Lavanya, Dr. MGR Educational and Research Institute, Chennai, India, Not Available, Not Available Chennai 461 476 2328-1243 2328-126X Artificial intelligence (AI) is revolutionizing healthcare by improving diagnostic accuracy, treatment personalization, and operational efficiency. This chapter explores AI applications in medical imaging, predictive analytics, drug discovery, and patient care. We examine current AI-driven systems, such as deep learning models for early diagnosis and natural language processing for electronic health record (EHR) analysis. The chapter also discusses challenges in integrating AI into healthcare, including ethical considerations, data privacy, and regulatory frameworks. Potential improvements in medical outcomes and operational workflows are highlighted, supported by case studies and research findings Artificial Intelligence,Psychology,Health Care,Law,Computer Science,Political Science,Artificial Intelligence,Computer Science,Health Care,Law,Political Science,Psychology,Artificial Intelligence,Computer Science,Health Care,Law,Political Science,Psychology,Artificial Intelligence,Computer Science,Health Care,Law,Political Science,Psychology,Artificial Intelligence,Computer Science,Health Care,Law,Political Science,Psychology,Artificial Intelligence,Computer Science,Health Care,Law,Political Science,Psychology,Artificial Intelligence,Computer Science,Health Care,Law,Political Science,Psychology,Artificial Intelligence,Computer Science,Health Care,Law,Political Science,Psychology https://doi.org/10.4018/979-8-3693-6180-1.ch019 10.4018/979-8-3693-6180-1.ch019
Scalable Computing: Practice and Experience Journal 2025 2 02/10/2025 00:00:00 R Ramani [327230], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Nalini Anandan [325461], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering Chennai 26 2 587 598 1895-1767 In the arena of renewable energy integration for electric vehicle (EV) infrastructure, it is a problem to efficiently use solar power with EV charging, considering grid constraints and user preferences. The current study proposes a new smart charging algorithm that utilizes IoT data for the dynamic optimization of EV charging patterns. A novel aspect of the study was a deep learning model, "EVGridNet", that reliably predicts solar energy output and grid prices. EVGridNet uses deep learning approaches to process accumulated data via IoT devices, facilitating fine-tuned adjustments to charging patterns through predictive analytics. {This algorithm receives actual data on the generation of solar energy, the price of grid electricity, and other characteristics set by the user to optimize the usage of solar energy, limit the usage of grid electricity during the peak hours and meet all the needs of the user.} The optimization process of the algorithm strategically manages energy sources, uses battery storage systems to exploit solar power effectively and uses grid electricity during low-cost periods, all within user preference parameters. The proposed system has the potential of reducing grid electric use by up to 25% for EV charging, and increasing the renewable energy electricity in EV charging to 40% as per simulation results. This will enable quick EV infrastructure scalability, low carbon emission, and energy independence. EVGridNet is an outstanding innovation in smart charging technology, which is a cost-effective and scalable solution to the renewable energy sector's primary challenge. One of the key aspects of the optimization process is the control of energy sources where battery storage systems allow for flexibility in using solar energy and grid electricity within certain pre-set thresholds
 
Artificial Intelligence,Internet of Things,Quantum Mechanics,Physics,Computer Security,Computer Science,computer network,Power (physics),Electric vehicle https://doi.org/10.12694/scpe.v26i2.3873 10.12694/scpe.v26i2.3873
Deep Learning in Diabetes Mellitus Detection and Diagnosis Book Chapter 2025 1 01/30/2025 00:00:00 Kesavan Sujatha [325459], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|R S Ponmagal, SRM Institute of Science and Technology, Kattankulathur, India, Not Available, Computer Science and Engineering|N Janaki, Vels Institute of Science, Technology and Advanced Studies, Chennai, India, Not Available, Electrical and Electronics Engineerings|N P G Bhavani, Saveetha Institute of Medical and Technical Sciences, Chennai, India, Not Available, Electronics and Communication Engineering|SuQun Cao, Huaiyin Institute of Technology, Huaian, China, Not Available, Not Available Chennai 55 66 Worldwide, diabetes mellitus (DM) is the consequential cause of death. The survivability of the patients is increased by early diagnosis of DM. Henceforth, it is very important to detect it as early as possible. To predict the segmented retinal images, many approaches have been proposed recently. Image-based analysis of the retinal fundus images is used as a non-invasive medical imaging modality. For medical image analysis, an image with elevated spatial resolution and contrast is required. Analysis of retinal images is the first step for early detection of DM. This goal is accomplished by segmentation of retinal fundus images using a residual U-network (RA-UNet) structure. The shuffled shepherd optimization algorithm (SSOA) and conditional autoregressive (CAViaR) algorithm facilitate in building an optimal architecture for deep learning neural network (DLNN) to detect and categorize diabetic retinopathy (DR) which is a consequence of DM. Random noise is eliminated using the adaptive threshold (AT) technique. Normal and abnormal regions of the retina are identified by the segmentation approach. Accurate delineation of the retina is carried out to segment and classify regions of the retina affected by DR. It is categorized as normal (NL), non-proliferative DR (NPDR), and proliferative DR (PDR). Fundus camera provides a better contrast for delineation of the blood vessels and hemorrhages, providing in-depth visibility. In the last few years, DLNN algorithms have exhibited prominent results in solving problems such as the detection and tracking of various retinal diseases by image classification and achieving promising results. Diagnosis of DM from retinal fundus images provides directions for quantitative analysis of research using DLNNs. Advanced communication technologies use the internet as a means of communication to connect the related devices called the internet of things (IoT), for the exchange of information. The uniquely identifiable objects are commonly referred to as IoT which are autonomous. These IoT devices can exchange digital information in the real world. IoT favors automation and offers flexibility and scalability in the design of healthcare systems with precision. Integration of infrastructure resources provides capability and effectiveness in healthcare IoT (HIoT) to share potential information among the users. Taking into consideration the remarkable breakthroughs made by these cutting-edge technologies, physicians have used relevant works based on imaging techniques, deep learning, and IoT to design an efficient algorithm for diagnosis by segmentation of retinal fundus images, emphasizing IoT simulation and routing, region of interest (RoI) extraction, residual attention-aware segmentation methods, and focusing on evaluation metrics such as the appropriateness measure. The research outcomes of this work can be transformed into a simulation package so that it can be used for medical diagnostics of NPDR and PDR at an early stage to save the life of the patient. Artificial Intelligence,Diabetes Mellitus,Endocrinology,Medicine,Ophthalmology,Algorithm,Computer Science,Optometry,Fundus (uterus),Retinal,Residual https://doi.org/10.1201/9781032708430-4 10.1201/9781032708430-4
Lecture notes in networks and systems International Conference 2025 2 02/28/2025 00:00:00 Kesavan Sujatha [325459], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|G Rohini, S A Engineering College, Chennai, India, Not Available, Electrical and Electronics Engineering|G Durga Devi, New Prince Shri Bhavani College of Engineering and Technology, Chennai, India, Not Available, Electronics and Communication Engineering|R S Ponmagal, SRM Institute of Science and Technology, Kattankulathur, India, Faculty of Engineering and Technology, Computer Science and Engineering|S Bhuvaneswari, S A Engineering College, Chennai, India, Not Available, Electrical and Electronics Engineering|N Janaki, Vels Institute of Science Technology and Advanced Studies, Chennai, India, Not Available, Not Available|N P G Bhavani, Saveetha Institute of Medical Sciences, Chennai, India, Not Available, Electronics and Communication Engineering|V Srividhya, Meenakshi College of Engineering, Chennai, India, Not Available, Electrical and Electronics Engineering Chennai 337 345 0.282 0.171 0.900 Q4 2367-3389 2367-3370 The innovation in the area of Internet of Smart Environment (IOsE) for the quality prediction of combustion process in industrial boilers is highlighted in this article. IOsE is quality reliant. The characteristics of flame in the combustion chamber which is used for identification and control of Carbon Dioxide (CO2) emissions. Currently, existing methods for flame analysis include non-invasive and high frequency spectral light dependent imaging techniques. Colour of the flame inside the Combustion Chamber (CCh) determines the prediction of Combustion Quality (CQ) and thereby its corresponding Combustion Quality Index (CQI). An online quality detection scheme for smart environment with colour extraction technique from the flame images to identify complete and incomplete combustion conditions is developed. For this, the intensity value of the pixels in Red-Blue-Green (RBG) plane is utilized. The coal is used as the prime fuel to heat water and convert it to steam for operating the industrial boilers. The quality prediction of combustion from flame colour and shape includes Complete Combustion (CC) and Incomplete Combustion (IC) categories. The flame images for CC and IC categories are subjected to preprocessing, attribute extraction and finally the prediction of flame quality is done using Random Forest (RF), Ada Boost (AB), Gradient Boosting (GB), Decision Tree (DT) and Multi Layer Perceptron (MLP). MLP is found to effectively categorize the CQ using the performance metrics like Sensitivity (SEY), Specificity (SPY) and Accuracy (ACY) Organic Chemistry,Waste Management,Engineering,Chemistry,Environmental Science,Computer Science,Combustion,Process engineering https://doi.org/10.1007/978-981-97-8861-3_29 10.1007/978-981-97-8861-3_29
AIP Conference Proceedings International Conference 2025 3 03/25/2025 00:00:00 P S Mahitha, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Ramesh L [325458], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering Chennai 3137 1 0 0.291 0.152 0.000 0.500 Q4 Q4 0094-243X 0094-243X 978-0-7354-1906-3 Globally, Electric vehicles (EV) demand is improving gradually, which necessitates the increased number of charging stations (Fixed charging stations (FCS) and mobile charging stations (MCS)). Hence, this paper covers user and performance survey for EV Research. The performance surveys depicted the current status of EV and the proposed ideas of the authors. The user surveys showed the mindset of the EV users. The review of charging station is also included, which depicts the design, location, siting and sizing, planning, and optimal model of FCS and also MCS. Additionally, the environmental impact of FCS and MCS has also been discussed which include both merits and demerits. Thereby, the design of Road assistance Vehicle for MCS has been proposed in developing countries like India which would be great financial assistance to road side vendors and low cadre people. The future research work that can be addressed is also identified. It includes the reduction of battery size, reducing investment cost of FCS, reducing charging time of Electric vehicle etc Quantum Mechanics,Engineering,Electrical Engineering,Physics,Computer Science,Aeronautics,Systems engineering,Power (physics),Electric vehicle https://doi.org/10.1063/5.0262735 10.1063/5.0262735
AIP Conference Proceedings International Conference 2025 3 03/25/2025 00:00:00 B Sravan Kumar, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Ramesh L [325458], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|L Padma Suresh, Baselios Mathews II College of Engineering, Kollam, India, Not Available, Electrical and Electronics Chennai 3266 40004 0.291 0.152 0.000 0.500 Q4 Q4 0094-243X 0094-243X 978-0-7354-1906-3 The potential of plug-in electric vehicles (PEV’s), energy storage systems in power system and small wind farms has been investigated in this work. From the study of the different wind turbines, it proves that permanent magnet synchronous generator (PMSG) system is one of the best ways to integrate power from the wind power systems to the grid. The presented PMSG was capable of capturing maximum power from wind energy even when there is fluctuating wind speed. The system is modeled with an effective three wind turbines and the respective charging stations with the help of MATLAB. Four charging points present in the university campus were selected for analyzing. The impact of battery energy storage systems (BESS) on PEV vehicles was studied. BESS controller was modelled in MATLAB, and the applications of BESS such as load levelling, peak shaving and load shifting was presented. The feasibility of the proposed system was checked through several case study analysis for the effective implementation in the University Quantum Mechanics,Engineering,Electrical Engineering,Physics,Energy Storage,Mechanical Engineering,Environmental Science,Computer Science,Automotive Engineering,Operating system,Power (physics),Battery (electricity),Plug-in,Spark plug,Plug and play https://doi.org/10.1063/5.0268153 10.1063/5.0268153
Pathology - Research and Practice Journal 2025 1 01/03/2025 00:00:00 Akshaya Nagarajan, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Biotechnology|Varsha Varadhan, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Biotechnology|Monica Shri Manikandan, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Biotechnology|Kumaravel Kaliaperumal, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, India, Saveetha Dental College and Hospitals, Orthodontics|Thirunavukkarasu Palaniyandi [326097], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Biotechnology| Senthilkumar Kaliamoorthy, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electronics and Communication Engineering|Safia Obaidur Rab, King Khalid University, Abha, Saudi Arabia, College of Applied Medical Sciences, Clinical Laboratory Sciences|Vishal M Balaramnavar, Sanskriti University, Mathura, India, School of Pharmacy and Research Centre, Not Available|Saravanan Kumarasamy [326472], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering Chennai 266 155811 0344-0338 Cancers are a class of disorders that entail uncontrollably unwanted cell development with dissemination. One in six fatalities globally is attributed to cancer, a global health issue. The analysis of the entire DNA sequence and how it expresses itself in tumor cells is known as cancer genomics. The development of novel cancer treatments has been facilitated because of the genomics method. COL10A1 gene, a short chain collagen, and an interstitial matrix component, acts as a predictive biomarker for cancer prognosis. Recognizing the fundamental consequences of mutations in the COL10A1 gene and its expression in cancer is crucial. Analyzing the COL10A1 gene expression with a data set and gene expression patterns shows the level of display of the tumor. Examining the therapeutic techniques of COL10A1 gene expression leads to early detection, screening, radiation therapy, and advanced developments. This review highlights the value of the COL10A1 gene in breast, gastric, pancreatic, lung, and colorectal cancers, emphasizing its role in gene expression patterns and therapeutic techniques. Medicine,Gene Expression,Computational Biology,Mathematics,Geometry,Gene,Biology,Cancer Research,Genetics,Computer Science,Nursing,Construct Validity,Patient Satisfaction,Programming language,Alpha (finance),Signature (topology),Expression (computer science) https://doi.org/10.1016/j.prp.2025.155811 10.1016/j.prp.2025.155811
Cloud Computing in Smart Energy Meter Management Book Chapter 2025 4 04/16/2025 00:00:00 P Ezhilarasi, University of Southampton, Southampton, United Kingdom, Not Available, Computer Science|Ramesh L [325458], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|J Balamurugan, Tamil Nadu Energy Development Agency, Chennai, India, Not Available, Not Available|J B Holm-Nielsen, Aalborg University, Aalborg, Denmark, Not Available, Not Available Chennai 371 418 The conventional power grid faces challenges in the distribution sector, leading to power losses and increased electricity costs per unit. To address these issues, the development of smart grids and automation has become essential. A key component of this shift is played by smart meters, which are advanced meters utilized for remote energy consumption measurement. They provide several advantages, such as effective billing, supply–demand balancing, remote metering, and monitoring. Smart meter deployment benefits energy suppliers, consumers, and society as a whole and helps to accomplish various UN Sustainable Development Goals (UN SDG). The development of many types of smart meters with functions beyond the core functionality of smart metering is evidence of the ongoing evolution of this technology. In that transition, prepaid meters have emerged as a variant of smart meters, drawing more attention due to their effective energy management functionalities in addition to conventional smart meter functionalities. Although these additional functionalities offer significant advantages to both energy suppliers and consumers, it is imperative to consider the costs associated with designing and implementing such sophisticated prepaid meters. The design of the prepaid meter becomes more complex as it incorporates more features and capabilities which drive up production and development costs. The combination of these factors may increase the overall cost of advanced prepaid meters, which may sometimes outweigh the direct benefits associated with their deployment. So, there is a need to develop a cost-effective strategy to address the aforementioned challenges. Consequently, in this work, a cost-effective prepaid meter design approach with advanced metering functionalities is proposed, developed, and tested in real-time scenarios to mitigate the aforementioned challenges Not Available https://doi.org/10.1002/9781394193769.ch13 10.1002/9781394193769.ch13
Strategies for Sustainable Development and Environmental Sciences Book Chapter 2025 2 02/01/2025 00:00:00 Mythreyee Madhavan [326784], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Kalyana Chakravarth P R, Vels institute of science, Technology and Advance Studeis, Chennai, India, Not Available, Civil Engineering Chennai 2 98 118 Not Available https://www.srrbooks.in/book-series/environment-series
Lecture notes in networks and systems International Conference 2025 5 05/31/2025 00:00:00 Godhavari Thiagarajan [325439], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electronics and Communication Engineering|Kesavan Sujatha [325459], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|S Sathyapriya, Panimalar Institute of Technology, Chennai, India, Not Available, Electronics and Communication Engineering|N P G Bhavani, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, India, Saveetha School of Engineering, Electronics and Communication Engineering Chennai 565 574 0.282 0.171 0.900 Q4 2367-3389 2367-3370 978-9-8199-6547-2 Security has always been a major problem with cloud computing. The most important and flimsy data that attackers point victims toward are information sources. Each cloud client’s security and protection are compromised in the unlikely event that information is lost. A cloud network is monitored remotely, yet there is still a risk of an intruder from within. Interior attackers obtain entry to a framework by haggling over a feeble client hub. They launch attacks pretending to be confidential client information and are connected to the internal cloud network. AI techniques are typically applied to cloud security problems. According to the current AI-based security techniques, a hub is described as being troubled when it becomes dependent on sporadic behavioral data. These frameworks do not distinguish between a resentful hub and an out-of-control hub. This work suggests an improvised model that learns a client’s behavior, automatically gets ready, and archives social media data in order to solve this problem. Without a doubt, the model can classify the client behavior as normal or unusual. Using the determined trust factor, the suggested approach finds an oddity hub and uses it to identify whether an acting mischievously hub is a wrecked hub, another client hub, or an undermined hub. The suggested model reduces the false alarm in the cloud organization and accurately identifies the attack Not Available https://doi.org/10.1007/978-981-96-1744-9_46 10.1007/978-981-96-1744-9_46
Lecture notes in networks and systems International Conference 2025 5 05/31/2025 00:00:00 Chillakuru Prameeladevi, Velammal Institute of Technology, Chennai, India, Not Available, Artificial Intelligence and Data Science|Kesavan Sujatha [325459], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|G Rohini, S A Engineering College, Chennai, India, Not Available, Electrical and Electronics Engineering|Tamilselvi Chandrasekaran [325427], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Information Technology|N Janaki, Vels Institute of Science, Technology and Advanced Studies, Chennai, India, Not Available, Not Available|N P G Bhavani, Saveetha Institute of Medical and Technical Sciences, Chennai, India, Saveetha School of Engineering, Electronics and Communication Engineering|V Srividhya, Meenakshi College of Engineering, Chennai, India, Not Available, Electrical and Electronics Engineering|A Ganesan, RRASE Engineering College, Chennai, India, Not Available, Not Available Chennai 553 564 0.282 0.171 0.900 Q4 2367-3389 2367-3370 978-9-8199-6547-2 Monitoring the air quality is very important because of elevated pollution levels causing health hazards. Many research related studies are carried out to estimate the pollutants in the air quality in metropolitan cities and areas near thermal power stations are inconsistent because the measured data for the multiple pollutants are not accurate. Though some mathematical models are available, there exists a research gap because of the lag existing in their capability to detect the multi-pollutant concentrations. Hence, a smart drone can be constructed to detect and measure 7 poisonous gases causing air pollution in various metropolitan cities and regions near thermal power plants. The quality of air can be monitored using drones in surrounding areas, near thermal power plants like Neyveli Lignite Corporation (NLC), Neyveli, Tamil Nadu, for solid waste estimation in the dump yards and also emission of various flue gases like Carbon Monoxide (CO), Carbon dioxide (CO2), Nitrogen Oxides (NOx) and Sulphur Dioxide (SO2). Currently, simulation studies reveal that four gas emissions related to air pollution are forecasted and estimated on using real time data from the sensors on a small scale. This data was used for analysing the training curve of the Radial Basis Function Network (RBFN). The proposed RBFN model was capable of monitoring and forecasting the intensities of various pollutants present in the atmosphere sample used for pollution analysis. Once the training and testing is over, the estimated and forecasted values of the pollutants to measure the air quality in various places can be used to avoid pollution or minimize the pollution levels by ensuring complete combustion. The prototype model of RBFN yielded an RMS value of 0.0001 for measuring the four types of air pollutants present in the flue gases from NLC (industrial area) for estimation and forecasting which will support the urban sustainability leasing to planning and development of pollution-free smart cities Not Available https://doi.org/10.1007/978-981-96-1744-9_45 10.1007/978-981-96-1744-9_45
AI Approaches to Smart and Sustainable Power Systems International Book Chapter 2024 3 03/01/2024 00:00:00 Karthik Nagarajan, Not Available, Chennai, India, Hindustan Institute of Technology and Science, Not Available|Arul Rajagopalan, Not Available, Chennai, India, Vellore Institute of Technology, Not Available|P Selvaraj [327014], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Hemantha Kumar Ravi, Not Available, Bangalore, India, Tata Elxsi Limited, Not Available|Inayathullah Abdul Kareem, Not Available, Chennai, India, Vellore Institute of Technology, Not Available Chennai 120 140 2327-0411 2327-0411 979-8-3693-1586-6 Customers of electric utilities that participate in demand response are encouraged to use less energy than they typically do in order to better balance the supply and demand for energy. In this study, demand response is taken into account as a demand reso Quantum Mechanics,Demand Response,Mathematics,Engineering,Algorithm,Electrical Engineering,Optimization Algorithm,Physics,Mathematical Optimization,Electricity,Computer Science,Power (physics),Electric power system,Economic dispatch http://dx.doi.org/10.4018/979-8-3693-1586-6.ch007 10.4018/979-8-3693-1586-6.ch007
Advances in Computing Communications and Informatics International Book Chapter 2024 3 Kesavan Sujatha [325459], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|George Victo Sudha George [325414], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Computer Science and Engineering|Npg Bhavani, Not Available, Chennai, India, SIMATS, Not Available|T Kalpatha Reddy, Not Available, thirupathi, India, S V Engineering College, Electronics and Communication Engineering|Nataraj Kanya [325426], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Information Technology|A Ganesan, Not Available, Chennai, India, RRASE College of Engineering, Electrical and Electronics Engineering Chennai 7 25 49 4959-7944 4959-7944 978-9-8151-6544-9 Not Available https://books.google.co.in/books?hl=en&lr=&id=6pQCEQAAQBAJ&oi=fnd&pg=PA25&dq=%22Online+Detection+of+Malnutrition+Induced+Anemia+Color+using+Machine+Learning+from+Nail+Algorithms%22&ots=RQUyMa_C-x&sig=
Exploration of Artificial Intelligence and Blockchain Technology in Smart and Secure Healthcare International Book Chapter 2024 3 03/01/2024 00:00:00 Kesavan Sujatha [325459], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|George Victo Sudha George [325414], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Computer Science and Engineering|Npg Bhavani, Not Available, Chennai, India, Saveetha Institute of Medical and Technical Sciences, Not Available|T Kalpatha Reddy, Not Available, thirupathi, India, SV Engineering College, Electronics and Communication Engineering|Nataraj Kanya [325426], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Information Technology|A Ganesan, Not Available, Chennai, India, RRASE College of Engineering, Electrical and Electronics Engineering Chennai 25 49 2737-5722 2737-5722 978-9-8151-6544-9 Exploration of Artificial Intelligence and Blockchain Technology in Smart and Secure Healthcare Machine Learning,Artificial Intelligence,Materials Science,Medicine,Algorithm,Internal Medicine,Computer Science,Metallurgy,Malnutrition,Nail (fastener) http://dx.doi.org/10.2174/9789815165432124070004 10.2174/9789815165432124070004
Lecture Notes in Networks and Systems International Book Chapter 2024 10 10/31/2024 00:00:00 V Srividhya, Meenakshi Academy of Higher Education and Research, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|N Janaki, Not Available, Chennai, India, Vels Institute of Science Technology and Advanced Studies, Electrical and Electronics Engineering|G Rohihi, Not Available, Chennai, India, S A Engineering College, Electrical and Electronics Engineering|L Keerthana Priyadharshini, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Indirakumar, Not Available, Chennai, India, Vels Institute of Science Technology and Advanced Studies, Electrical and Electronics Engineering|S Hemalatha, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|S Mohana Sandhiya, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|E Pavithra, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|K Sujatha [325459], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering Chennai 137 146 0.282 0.171 0.900 Q4 2367-3370 2367-3370 978-9-8197-6678-9 Abnormalities in the nails of human beings may be signs of underlying systemic disorders. Various systemic diseases have been connected to various nail abnormalities. The main objective of this project is to create a mobile application that allows users t Geography,Computer Science,photography,Art,Visual Arts http://dx.doi.org/10.1007/978-981-97-6678-9_12 10.1007/978-981-97-6678-9_12
2023 IEEE North Karnataka Subsection Flagship International Conference (NKCon) International Conference 2024 1 Baskar S [327012], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Nandhini I, Not Available, Karur, India, V. S. B Engineering College, Information Technology|Mudarakola Lakshmi Prasad, Not Available, Dundigal, India, Institute of Aeronautical Engineering, Computer Science and Engineering|Tejaswini Katale, Not Available, Pune, India, Vishwakarma Institute of Technology, Computer Engineering|Pundru Chandra Shaker Reddy, Manipal University Jaipur, Jaipur, India, School of Computer Science and Engineering, Not Available Chennai 1 7 979-8-3503-1404-5 Recent years have seen an increase in the amount of focus placed on the study of Alzheimer's disease (AD) categorization and prediction. Historically, one would handle such an issue by employing a combination of several types of machine learning algorithm Not Available http://dx.doi.org/10.1109/NKCon59507.2023.10396132 10.1109/NKCon59507.2023.10396132
Procedia Computer Science International Conference 2024 1 Kesavan Sujatha [325459], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|T Kalpalatha Reddy [327191], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electronics and Communication Engineering|N P G Bhavani, Not Available, Chennai, India, Saveetha Institute of Medical Sciences, Electronics and Communication Engineering|R S Ponmagal, Not Available, Kattankulathur, India, SRM Institute of Science and Technology, Computer Science and Engineering|V Srividhya, Meenakshi Academy of Higher Education and Research, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|N Janaki, Not Available, Chennai, India, Vels Institute of Science, Technology and Advanced Studies, Not Available Chennai 230 70 81 0.871 0.505 4.500 Q2 This research work involves data access and control of Unmanned Ground Vehicles (UGVs) which is designed for health monitoring of paddy crops as an exception from traditional monitoring system. The proposed scheme of autonomous navigation of drones is pla Artificial Intelligence,Fuzzy logic,Biochemistry,Gene,Biology,Chemistry,Genetics,Computer Science,Obstacle Avoidance,Robot,Agronomy,Real-time computing,Robustness (evolution),Controller (irrigation),Drone,Mobile robot,Motion planning http://dx.doi.org/10.1016/j.procs.2023.12.062 10.1016/j.procs.2023.12.062
AIP Conference Proceedings International Conference 2024 5 Kesavan Sujatha [325459], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|N P G Bhavani, Not Available, Chennai, India, Saveetha Institute of Medical and Technical Sciences, Electronics and Communication Engineering|D Kirubakaran, Not Available, Chennai, India, St. Joseph’s Engineering College, Electrical and Electronics Engineering|A Ganesan, Not Available, Chennai, India, RRASE College of Engineering, Electrical and Electronics Engineering|Nataraj Kanya [325426], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Information Technology|A Kalaivani, Not Available, Chennai, India, Rajalakshmi Engineering College, Computer Science and Engineering|C H Sarada Devi, Meenakshi Academy of Higher Education and Research, Chennai, India, Faculty of Engineering and Technology, Computer Science and Engineering|T Kalpalatha, Not Available, Chennai, India, S V College of Engineering, Electronics and Communication Engineering|Balasubramanian Rengammal Sankari [326129], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering Chennai 3097 20258 0.291 0.152 0.500 Q4 0094-243X 0094-243X For a developing country like India, aquaculture is a lucrative business as it contributes to its economic growth. Cod liver oil is a nutrient-dense dietary supplement that boosts the immune system and prevents various diseases that affect humans. Aquacul Aquaculture,Economics,Business,Biology,Law,Computer Science,Fishery,politics,Political Science,Fish <Actinopterygii>,Stewardship (theology),Natural resource economics http://dx.doi.org/10.1063/5.0198179 10.1063/5.0198179
AIP Conference Proceedings International Conference 2024 8 Mustapha Messaoudi, University of Gabes-Tunisia, Zrig Eddakhlania, Tunisia, Not Available, Not Available|Sivanand R [424618], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Santiago A Otero Potosi, Not Available, Ibarra, Ecuador, Instituto Superior Technologico Liceo Aduanero, Not Available|Luis Caiza Quishpe, Not Available, Ibarra, Ecuador, Instituto Superior Technologico, Not Available|Chandra Kumar Dixit, Dr SHAKUNTALA MISRA NATIONAL REHABILITATION UNIVERSITY, Lucknow, India, Not Available, Physics|Durgesh Pratap Singh, Graphic Era University, Dehradun, India, Not Available, Mechanical Engineering Chennai 3029 20021 0.291 0.152 0.500 Q4 0094-243X 0094-243X Vehicles that run entirely on electricity or on a hybrid of electricity are potential options for the preservation of fossil fuel and mitigation of pollution, as well as for a secure environment and long-term mobility. For these energy-efficient powertrai Engineering,Chemical Engineering,Telecommunications,Computer Science,Automotive Engineering,Fuel Cells,Enhanced Data Rates for GSM Evolution http://dx.doi.org/10.1063/5.0218202 10.1063/5.0218202
2024 Second International Conference on Intelligent Cyber Physical Systems and Internet of Things International Conference 2024 10 08/01/2024 00:00:00 Mamta B Savadatti, Not Available, Bangalore, India, New Horizon College of Engineering, Electronics and Communication Engineering|P V Kishore Kumar, Not Available, Eluru, India, Ramachandra College of Engineering, Computer Science and Engineering|Ujwala Kshirsagar, Not Available, Pune, India, Symbiosis Institute of Technology, Not Available|Baskar S [327012], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Sudhakiran Ponnuru, Not Available, Bangalore, India, New Horizon College of Engineering, Electronics and Communication Engineering|Ajay Sudhir Bale, Not Available, Bangalore, India, New Horizon College of Engineering, Electronics and Communication Engineering Chennai 869 874 979-8-3315-4067-8 The popularity of online shopping is expanding quickly, which has boosted need for reliable and effective e-commerce systems. This work seeks to create an e-commerce website in response to this need utilizing the MERN (MongoDB, Ex-press.js, React.js, Node Not Available http://dx.doi.org/10.1109/ICoICI62503.2024.10696706 10.1109/ICoICI62503.2024.10696706
International Journal of Scientific Research in Engineering and Management National Journal 2024 3 03/07/2024 00:00:00 Rahul Singh, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Rohit Kumar Keshri, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|N Raja, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Sanjay Bagar, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|L Ramesh [325458], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering Chennai 8 3 1 9 2582-3930 INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT Not Available http://dx.doi.org/10.55041/IJSREM29123 10.55041/IJSREM29123
Evergreen Journal 2024 10 09/01/2024 00:00:00 Kesavan Sujatha [325459], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|N P G Bhavani, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Computer Science and Engineering|George Victosudha, Not Available, Chennai, India, Saveetha Institute of Medical and Technical Sciences, Not Available|T Kalpatha Reddy, Not Available, Chennai, India, S V Engineering College, Computer Science and Engineering|A Kannan [325518], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|A Ganesan, Not Available, Chennai, India, RRASE College of Engineering, Electrical and Electronics Engineering|Naresh, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering Chennai 11 3 2004 2010 1.513 0.376 4.300 Q2 2189-0420 2432-5953 This paper deals with the design of an Autopilot system controller for an Unmanned Aerial Vehicle (UAV) for controlling the speed and altitude, so that the self-flight capability is achieved. Artificial Intelligence (AI) controller is built using the desi Artificial Intelligence,control engineering,Aerospace Engineering,Engineering,Biology,Computer Science,Aeronautics,Agronomy,Control (management),Control theory (sociology),Controller (irrigation),Autopilot http://dx.doi.org/10.5109/7236847 10.5109/7236847
International Journal of Electrical and Electronics Engineering National Journal 2024 5 Vinodh K P R, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Saravanan Kumarasamy [326472], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering Chennai 13 1 9 20 0.473 0.168 1.100 Q4 2231-5284 2231-5284 Not Available https://www.iaset.us/download/archives/29-05-2024-1716981333-6-IJEEE-2.%20IJEEE%20-%20POWER%20QUALITY%20IMPROVEMENT%20USING%20DYNAMIC%20VOLTAGE%20RESTORER-BASED%20ANFIS%20CONTROLLER.pdf
International Journal of Electrical and Electronics Engineering National Journal 2024 1 S Priyadharshini, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Saravanan Kumarasamy [326472], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering Chennai 13 1 1 8 0.473 0.168 1.100 Q4 2231-5284 2231-5284 Not Available
Journal of Electrical Systems International Journal 2024 5 05/02/2024 00:00:00 Ramani R [327230], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Nalini Anandan [325461], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering Chennai 20 3005 3018 0.500 Q4 1112-5209 1112-5209 Journal of Electrical Systems Not Available http://dx.doi.org/10.52783/jes.3311 10.52783/jes.3311
Bulletin of Electrical Engineering and Informatics Journal 2024 10 10/01/2024 00:00:00 Mythreyee Madhavan [326784], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Nalini Anandan [325461], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering Chennai 13 5 2991 3000 0.689 0.284 3.600 Q2 2089-3191 2302-9285 In the power industry, advanced techniques have furthered the development of the smart grid's power system and management. The world's third-largest country is India, which has a producer and consumer of electricity, is struggling with different power-rel Smart Grid,Mathematics,Engineering,Geometry,Distributed Computing,Electrical Engineering,Computer Science,Grid http://dx.doi.org/10.11591/eei.v13i5.6331 10.11591/eei.v13i5.6331
2024 4th International Conference on Soft Computing for Security Applications (ICSCSA) Conference 2024 3 03/18/2025 00:00:00 09/24/2024 00:00:00 Ilampari M, SIMATS University, Chennai, India, Saveetha School of Law, Not Available|Amina Begum M, Oxford College of Engineering, Chennai, India, Not Available, Electronics and Communication Engineering|Mahesh Babu M, Anurag Engineering College, Nalgonda, India, Not Available, Information Technology|Gopi S, Vel Tech Rangarajan Dr.Sagunthala R and D Institute of Science and Technology, Chennai, India, Not Available, Computer Science and Engineering|Mythreyee Madhavan [326784], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Shanmugavel Deivasigamani, Jeppiaar Institute of Technology, Chennai, India, Not Available, Artificial Intelligence and Data Science Chennai 248 255 Wireless Sensor Networks (WSNs) are a very important technology widely used in diverse application domains of environmental monitoring, disaster management, health care, industrial automation etc. These are networks in which spatially distributed sensor nodes monitor physical or environmental conditions and communications data are processed through a base station. Here, we introduced a novel method for enhancing the efficiency and lifetime of WSNs by using the WSN to process images data and genetic programming (GA) to find the best route. A system model was developed to balance a network consisting of homogenous sensor nodes placed randomly in a particular geographical area, representing realistic scenarios. Each sensor node has limited energy resources, hence the operation of the network was partitioned into clustering phase and routing phase to optimal utilization of energy. To improve both the accuracy and efficiency of clustering, the genetic algorithm then identified the optimal path through these clusters using the best combination of pivot nodes for transmission. The proposed method applies image processing techniques to process sensor data, preprocesses sensor data, and then improves the classification process, clustering results, and the genetic algorithm obtains the more energy-efficient paths. Our extensive evaluation results prove substantial optimizations in network performance, energy efficiency and lifetime over known protocols. This method is expected to be effective in such applications as environmental monitoring, disaster management, and other applications that will utilize reliable and sustainable WSNs. Not Available https://doi.org/10.1109/icscsa64454.2024.00046 10.1109/icscsa64454.2024.00046
International Journal of Power Electronics and Drive Systems International Journal 2024 3 Edwin Sheeba Percis [325460], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering Chennai 15 3 1468 1477 0.647 0.295 3.500 Q2 2088-8694 Modern power grids in regions with high renewable energy sources face
unique challenges. Incorporating renewable energy, like wind and solar, can
cause voltage, frequency, and power fluctuations, leading to instability. This
study focuses on Tamil Nadu's extra high voltage transmission system, which
has significant wind generation. It explores the impact of large-scale
renewable energy integration and proposes the use of static synchronous
compensators (STATCOM), a part of flexible alternating current transmission
systems (FACTS). STATCOM actively monitors and controls the grid,
ensuring stability under unpredictable conditions. It is observed that the
system maintains the grid stability with base rotor angle and voltage of 1.0 per
unit during sudden loss 120 MW generator. Also, during the sudden loss of
all renewable resources, the grid maintains the stability with rotor angle of 60
degree (base value). The findings provide insights into challenges and
solutions, fortifying grid stability for accommodating more renewable energy
without compromising reliability or efficiency
Not Available https://doi.org/10.11591/ijpeds.v15.i3.pp1468-1477 10.11591/ijpeds.v15.i3.pp1468-1477
Biomass Conversion and Biorefinery International Journal 2023 2 02/02/2023 00:00:00 Thirunavukkarasu Palaniyandi [326097], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Biotechnology|Maddaly Ravi, Sri Ramachandra Institute of Higher Education and Research, Chennai, India, Faculty of Biomedical Sciences and Technology, Human Genetics|Hemapreethi Surendran, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Biotechnology|Saranavan Kumarasamy, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Thirunavukkarasu Palaniyandi, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Biotechnology|Sandhiya Viswanathan, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Biotechnology|Pranav Prabhakaran, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Biotechnology|Gomathy Baskar, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Biotechnology|Mugip Rahaman Abdul Wahab, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Biotechnology|Asha Sivaji, Not Available, Vellore, India, DKM College for Women, BioChemistry|Barani Kumar Rajendran, Yale University, New Haven, United States, Not Available, Not Available|Meivelu Moovendhan, Sathyabama Institute of Science and Technology, Chennai, India, Research Centres, Centre for Ocean Research|Saravanan Kumarasamy [326472], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering Chennai 0.925 0.595 3.500 3.800 Q2 Q2 2190-6815 2190-6823 Gold nanoparticles (AuNPs) have a numerous biomedical applications including their antioxidant, antimicrobial, and anticancer applications. We have synthesized AuNPs laced with the extracts of red algae Halymenia pseudofloresii using the green method (Hp- Fourier Transform Infrared Spectroscopy,Nanoparticle,Materials Science,Surface Plasmon Resonance,Nanotechnology,Organic Chemistry,Engineering,Chemical Engineering,Chemistry,Antioxidant,Antimicrobial,Nuclear chemistry,DPPH,Colloidal gold https://link.springer.com/article/10.1007/s13399-023-03873-y 10.1007/s13399-023-03873-y
Handbook of Research on Advancements in AI and IoT Convergence Technologies National Book Chapter 2023 9 B Swapna [325455], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electronics and Communication Engineering|P Amudhan, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|S Gayathri, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electronics and Communication Engineering|Kavitha Esakimuthu [325322], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Humanities and Sciences, Physics|Kamalahasan Murugan [326489], Dr. MGR Educational and Research Institute, Chennai, India, Research Centres, Advanced Research Institute|Saravanan Kumarasamy [326472], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Sujitha Madhavadhas [327167], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electronics and Communication Engineering Chennai 213 228 2327-0411 2327-0411 978-1-6684-6971-2 Satellite tracking and control module in charge of maintenance is the subsystem. Monitoring and control of satellite locations affect the environment. Satellites are subjected to torque. This causes alignment and satellite angle instability while it is in Artificial Intelligence,Aerospace Engineering,Mathematics,Engineering,Psychology,Computer Science,computer network,Pedagogy,Combinatorics,Systems engineering,Network packet,Satellite,Control (management),Tracking (education),Cube (algebra),Payload (computing) http://dx.doi.org/10.4018/978-1-6684-6971-2.ch012 10.4018/978-1-6684-6971-2.ch012
Implementation of Smart Healthcare Systems using AI, IoT, and Blockchain International Book Chapter 2023 1 Sujatha K [325459], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|G Nalinashini, Not Available, Chennai, India, RMD Engineering College, Not Available|Antony Xavier Bronson F, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Biotechnology|K Bhaskar, Not Available, Chennai, India, Rajalakshmi Engineering College, Automobile Engineering Chennai 169 191 978-0-3239-1916-6 Detecting the baby’s cry sounds is significant and is the first step that enables effective diagnosis in the branch of pediatrics. Despite the complexity in the analysis of the baby’s cry signal, an automated cry signal segmentation system can be introduc Artificial Intelligence,Segmentation,Convolutional Neural Network,Speech Recognition,Computer Science,Pattern recognition (psychology),Programming language,SIGNAL (programming language) http://dx.doi.org/10.1016/B978-0-323-91916-6.00012-6 10.1016/B978-0-323-91916-6.00012-6
Optimization Techniques in Engineering: Advances and Applications International Book Chapter 2023 4 04/28/2023 00:00:00 Ranjit Singh, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|L Ramesh [325458], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering Chennai 231 242 978-1-1199-0627-8 This chapter investigates the load frequency control (LFC) based on a neural network for improving power system dynamic performance of a single-area thermal power plant. The performance of P, PI, PID, and NARMA-L2 controllers is studied in terms of their Not Available http://dx.doi.org/10.1002/9781119906391.ch14 10.1002/9781119906391.ch14
Distributed Computing to Blockchain International Book Chapter 2023 5 Sujatha K [325459], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Thangavel Kavitha [325580], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Civil Engineering|Chandrasekaran Tamilselvi [325427], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Information Technology|Kaliyamoorthy Senthil Kumar [325438], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electronics and Communication Engineering|Umapathy Jayalatsumi [326239], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electronics and Communication Engineering|Balasubramanian Rengammal Sankari [326129], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering Chennai 415 424 978-0-3239-6146-2 Due to improvements in information and communication technology and growth of sensor technologies, Internet of Things is now widely used in medical field for optimal resource management and ubiquitous sensing. In hospitals, many IoT devices are linked tog Organic Chemistry,Mathematics,Mathematical Analysis,Geometry,Physics,Chemistry,Astronomy,Computer Science,Oxygen,Embedded system,Block (permutation group theory),Development (topology),Chain (unit) http://dx.doi.org/10.1016/B978-0-323-96146-2.00017-6 10.1016/B978-0-323-96146-2.00017-6
Intelligent Manufacturing Management Systems: Operational Applications of Evolutionary Digital Technologies in Mechanical and Industrial Engineering International Book Chapter 2023 4 04/24/2023 00:00:00 Kesavan Sujatha [325459], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|R Krishnakumar, Not Available, Chennai, India, Vels Institute of Science, Technology & Advanced Studies, Electrical Engineering|Umapathy Jayalatsumi [326239], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electronics and Communication Engineering|R Vani, Not Available, Chennai, India, SRM Institute of Science and Technology, Electronics and Communication Engineering Chennai 195 222 978-1-1198-3624-7 The processing of image and artificial intelligent system of Internet of Things (IoT) could do major evolution in the energy production sector. As primary part, a flame monitoring system is designed with artificial intelligence techniques, to identify the Not Available http://dx.doi.org/10.1002/9781119836780.ch8 10.1002/9781119836780.ch8
AIP Conference Proceedings International Conference 2023 12 Kesavan Sujatha [325459], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|George Victo Sudha George [325414], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Computer Science and Engineering|Geetha Soman [325423], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Computer Science and Engineering|Latha B, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Humanities and Sciences, Physics|N P G Bhavani, Not Available, Chennai, India, Saveetha Institute of Medical and Technical Sciences, Electronics and Communication Engineering|N Janaki, Not Available, Chennai, India, Vels Institute of Science, Technology and Advanced Studies, Electrical and Electronics Engineering|T R Premila, Not Available, Chennai, India, Vels Institute of Science, Technology and Advanced Studies, Electrical and Electronics Engineering|A Wisemin Lins, Not Available, Chennai, India, Vels Institute of Science, Technology and Advanced Studies, Electrical and Electronics Engineering|Kavitha Esakimuthu [325322], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Humanities and Sciences, Physics|A Ganesan, Not Available, Chennai, India, RRASE College of Engineering, Electrical and Electronics Engineering Chennai 2916 20007 0.291 0.152 0.500 Q4 0094-243X 1551-7616 978-0-7354-4733-2 Objectives: In agricultural science, the quality identification of fruits and vegetables were categorized with differentiating colour, shape, dimension and texture. The proposed technique will enable to develop a smart phone application which uses intelli Not Available http://dx.doi.org/10.1063/5.0178963 10.1063/5.0178963
Cognitive Science and Technology International Conference 2023 1 N P G Bhavani, Saveetha University, Chennai, India, Saveetha School of Engineering, Electrical and Communication Engineering|B Deepalakshmi, Not Available, Chennai, India, Ramco Institute of Technology, Electrical and Electronics Engineering|K Sujatha [325459], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Chandrasekaran Tamilselvi [325427], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Information Technology Chennai 631 638 0.022 0.300 Q4 2195-3988 2195-3988 978-9-8119-2357-9 There is currently no trustworthy method in place to provide continuous monitoring of all process conditions and leather qualities inside closed reactors during leather production, implying that there is no genuine control. Only by pausing the reactor and Artificial Intelligence,Automation,Mathematics,Engineering,Philosophy,Statistics,Mechanical Engineering,Computer Science,Operations Management,Epistemology,Quality (philosophy),Operating system,Process (computing),Manufacturing engineering,Control (management),Flexibility (engineering),Process engineering,Bottleneck http://dx.doi.org/10.1007/978-981-19-2358-6_57 10.1007/978-981-19-2358-6_57
2022 6th International Conference on Electronics, Communication and Aerospace Technology International Conference 2023 1 Boddu Tejaswini, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Edwin Sheeba Percis [325460], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering Chennai 134 139 978-1-6654-8272-1 Smart grid is a recent trend and growing technology to control modern electric power systems which is a more reliable, secure and protective, and advanced electricity supply network. Nonlinear power converters were shown to be incapable of preserving powe Quantum Mechanics,power electronics,Smart Grid,Electric Power Transmission,Electronics,Engineering,Power Factor,Electrical Engineering,Physics,Voltage,Computer Science,Converters,Modular Design,power engineering,Operating system,Power (physics),Electric power system,Power transmission http://dx.doi.org/10.1109/ICECA55336.2022.10009441 10.1109/ICECA55336.2022.10009441
2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) International Conference 2023 2 Kesavan Sujatha [325459], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Kalpalatha Reddy T, Not Available, thirupathi, India, S V Engineering College, Electrical and Electronics Engineering|N P G Bhavani, Not Available, Chennai, India, Saveetha School of Engineering, Electronics and Communication Engineering Chennai 1 7 978-1-6654-6085-9 Machine Learning,Artificial Intelligence,Linguistics,Aquaculture,Philosophy,Algorithm,Biology,Environmental Science,Computer Science,Fishery,Fish <Actinopterygii>,Phone http://dx.doi.org/10.1109/ICACRS55517.2022.10029312 10.1109/ICACRS55517.2022.10029312
Cognitive Science and Technology International Conference 2023 3 Sujatha K [325459], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Sujitha M [327167], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Jayalatsumi U [326239], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Kavitha T, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Su Qun Cao, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering Chennai 11 19 0.022 0.300 Q4 2195-3988 2195-3988 978-9-8119-8086-2 The major challenge in the medical field is the detection of blood cancer or leukemia in its early stage detection. Once the blood cancer has been diagnosed in its early stage, treatment becomes easy and also it works out well. Presently, only manual iden Artificial Intelligence,Computer Vision,Deep Learning,image segmentation,cancer,Artificial Neural Network,Segmentation,Medicine,Convolutional Neural Network,Biology,Internal Medicine,Computer Science,Botany,Paleontology,Pattern recognition (psychology),Identification (biology),Stage (stratigraphy),White blood cell,Blood cancer http://dx.doi.org/10.1007/978-981-19-8086-2_2 10.1007/978-981-19-8086-2_2
2023 9th International Conference on Electrical Energy Systems National Conference 2023 5 Nivetha Sridhar [327260], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Saravanan Kumarasamy [326472], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Balasubramanian Rengammal Sankari [326129], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Thankanadar Jenish, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|V Thiyagarajan, Not Available, Chennai, India, Sri Sivasubramaniya Nadar College of Engineering, Electrical and Electronics Engineering Chennai 665 669 2693-3934 2693-3934 979-8-3503-4803-3 The increasing demand in electricity leads to power losses, congestion (risk), reduced voltage profile, grid over loading. The energy sources used for vehicles is being depleted from the earth gradually. The issues and problems in this aspects are increas Not Available http://dx.doi.org/10.1109/ICEES57979.2023.10110054 10.1109/ICEES57979.2023.10110054
Lecture Notes in Electrical Engineering International Conference 2023 4 04/30/2023 00:00:00 Sravan Kumar B, Dr. MGR Educational and Research Institute, Chennai, India, Not Available, Not Available|L Ramesh [325458], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering Chennai 73 81 0.145 0.147 0.700 Q4 1876-1100 1876-1100 978-9-8119-8493-8 The potential of energy storage systems in power system and small wind farms has been investigated in this work. Wind turbines along with battery energy storage systems (BESSs) can be used to reduce frequency oscillations by maintaining a balance between Quantum Mechanics,Renewable energy,Marine Engineering,Engineering,Electrical Engineering,Physics,Energy Storage,Voltage,Mechanical Engineering,Environmental Science,Automotive Engineering,Microgrid,Geology,Power (physics),Wind power,Turbine,Fault (geology),Seismology,Permanent magnet synchronous generator,Nacelle http://dx.doi.org/10.1007/978-981-19-8493-8_6 10.1007/978-981-19-8493-8_6
Lecture Notes in Networks and Systems International Conference 2023 6 06/15/2023 00:00:00 Kesavan Sujatha [325459], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|N P G Bhavani, Not Available, Chennai, India, Saveetha Institute of Medical and Technical Sciences, Electronics and Communication Engineering|J Femila Roseline, Not Available, Chennai, India, Saveetha Institute of Medical and Technical Sciences, Electronics and Communication Engineering|Ezhilarasan D, Not Available, Chennai, India, Saveetha Institute of Medical and Technical Sciences, Electronics and Communication Engineering Chennai 149 155 0.282 0.171 0.900 Q4 2367-3370 2367-3389 978-9-8199-0768-7 A smart wearable is a fully integrated and networked system. It is implied by the term “wearable” that the support environment is either a person or an article of equipment, where one or more sensor and actuator nodes are located on the end user’s side an Not Available http://dx.doi.org/10.1007/978-981-99-0769-4_15 10.1007/978-981-99-0769-4_15
Journal of Electrical Systems International Journal 2023 1 Ezhilarasi P, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electronics and Communication Engineering|L Ramesh [325458], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Jens Bo Holm Nielsen, Aalborg University, Aalborg, Denmark, Not Available, Not Available Chennai 18 4 582 599 0.500 Q4 1112-5209 1112-5209 Not Available https://www.proquest.com/openview/de35f4f98c496c2932eab905a0bcedf9/1?pq-origsite=gscholar&cbl=4433095
Software Impacts Journal 2023 1 Ezhilarasi P, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electronics and Communication Engineering|L Ramesh [325458], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Xiufeng Liu, Technical University of Denmark, Lyngby, Denmark, Not Available, Technology|Jens Bo Holm Nielsen, Aalborg University, Aalborg, Denmark, Not Available, Energy Technology Chennai 15 100468 2665-9638 Data-science is a key component of modern science since it fuels AI, ML and data analytics, etc. As the electrical grid has been modernized into a smart grid, it has also become increasingly dependent on data science to monitor and control grid activity. Quantum Mechanics,Physics,Astronomy,Computer Science,Operating system,Python (programming language),Power (physics),Generator (circuit theory),Metre http://dx.doi.org/10.1016/j.simpa.2023.100468 10.1016/j.simpa.2023.100468
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE International Journal 2023 3 Malige Mahadevaiah Ramakrishna, Dr. MGR Educational and Research Institute, Chennai, India, Not Available, Not Available|Vedanandam Karthikeyan [325443], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering Chennai 35 8 0.692 0.533 1.500 5.000 Q1 Q2 1532-0626 1532-0634 Dengue virus infection is one of the major worldwide health issues and a substantial epidemic infectious human disease. More than 2 billion humans live in dengue susceptible regions with an annual infection mortality rate is about 5%–20%. At the initial s Machine Learning,Artificial Intelligence,Medicine,Disease,Virology,Internal Medicine,Computer Science,Diagnostic Accuracy,Dengue Fever,Dengue virus,Infectious disease (medical specialty) http://dx.doi.org/10.1002/cpe.7597 10.1002/cpe.7597
Evergreen Journal 2023 4 Sujatha K [325459], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Bhavani N P G, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Computer Science and Engineering|T Kalpatha Reddy, Not Available, thirupathi, India, S V Engineering College, Not Available|Nataraj Kanya [325426], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Information Technology Chennai 10 1 283 288 1.513 0.376 4.300 Q2 2189-0420 2432-5953 Rice is the staple food in southern parts of our country. The agricultural sector has become an important income source for our country. Absorption of nutrients provides good health. Hence it becomes very important to preserve the nutrients and use organi Agriculture,Economics,Engineering,Geography,Business,Algorithm,Biology,Environmental Science,Computer Science,Sorting,Agronomy,Agricultural Economics,Archaeology,Agricultural Engineering,Agricultural science http://dx.doi.org/10.5109/6781076 10.5109/6781076
Journal of Physics: Conference Series International Journal 2023 5 Sujatha K [325459], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Bhavani N P G, Not Available, Chennai, India, Saveetha Sch. of Eng, Not Available|George Victo Sudha George [325414], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Not Available|Kalaivani A, Not Available, Chennai, India, Rajalakshmi Engineering College, Computer Science and Engineering Chennai 2467 1 12001 0.303 0.180 1.200 Q3 1742-6588 1742-6596 With the development of medical technology, the diagnosis of lung diseases relies more on the determination of medical images. With increasingly huge data, a powerful data processing model is urgently needed to provide favorable support for this field. Th Machine Learning,Artificial Intelligence,data mining,Pathology,Artificial Neural Network,Medicine,Disease,Mathematics,Convolutional Neural Network,Engineering,Algorithm,Biology,Software,Computer Science,Botany,Coronavirus Disease 2019 (covid-19),Time Series,Pure Mathematics,Operations Management,Pattern recognition (psychology),Programming language,Identification (biology),Field (mathematics),Infectious disease (medical specialty),Metric (unit) http://dx.doi.org/10.1088/1742-6596/2467/1/012001 10.1088/1742-6596/2467/1/012001
Wireless Personal Communications International Journal 2023 6 06/02/2023 00:00:00 Gujjula Jhansi, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electronics and Communication Engineering|Kesavan Sujatha [325459], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering Chennai 131 3 1529 1549 1.900 Q3 0929-6212 1572-834X Fish diseases in aquaculture pose a significant threat to nutrient security and the fishing industry’s income. However, identifying infectious fish can be challenging due to the lack of necessary infrastructure. To prevent the spread of diseases, it is cr Machine Learning,Artificial Intelligence,Artificial Neural Network,Ecology,Mathematics,Algorithm,Optimization Algorithm,Biology,Mathematical Optimization,Computer Science,Fishery,Identification (biology),Fish <Actinopterygii> http://dx.doi.org/10.1007/s11277-023-10512-2 10.1007/s11277-023-10512-2
Lecture Notes in Networks and Systems International Journal 2023 5 05/31/2023 00:00:00 Kesavan Sujatha [325459], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|N Ethiraj [325521], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Mechanical Engineering|Bhuvaneswari S, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|T Sivabalan [325528], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Mechanical Engineering|Geetha Soman [325423], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Computer Science and Engineering|Nataraj Kanya [325426], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Information Technology Chennai 11 19 0.282 0.171 0.900 Q4 2367-3370 2367-3389 Every year, the industries are found to lose a billion of rupees due to abrasive wear and tear and subsequently wastage of material by surface loss. The widely used surface techniques are nitriding and chemical/physical vapor deposition. Nitriding require Artificial Intelligence,Artificial Neural Network,Microstructure,Materials Science,Nanotechnology,Engineering,Cryogenic Treatment,Mechanical Engineering,Computer Science,Metallurgy,Machining,Composite Material,Operating system,Process (computing),Backpropagation,Process engineering,Coating,Abrasive,Chemical vapor deposition http://dx.doi.org/10.1007/978-981-19-9638-2_2 10.1007/978-981-19-9638-2_2
International Journal of Intelligent Systems and Applications in Engineering National Journal 2023 7 V Devaraj, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Mathivanan Kumaresan [325442], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electronics and Communication Engineering Chennai 11 466 479 0.352 0.209 1.300 Q3 2147-6799 Not Available https://www.ijisae.org/index.php/IJISAE/article/download/2987/1565
Environmental Monitoring and Assessment International Journal 2023 7 07/05/2023 00:00:00 Gujjula Jhansi, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electronics and Communication Engineering|Kesavan Sujatha [325459], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering Chennai 195 8 0.861 0.643 2.900 4.700 Q2 Q3 0167-6369 1573-2959 Aquaculture fish diseases pose a serious threat to the security of food supplies. Fish species vary widely, and because they resemble one another so much, it is challenging to distinguish between them based solely on appearance. To stop the spread of dise Machine Learning,Artificial Intelligence,random forest,Support Vector Machine,Genetic algorithm,Ecology,Aquaculture,Biology,Computer Science,Fishery,Identification (biology),Fish <Actinopterygii>,Ant colony optimization algorithms,Fishing http://dx.doi.org/10.1007/s10661-023-11472-7 10.1007/s10661-023-11472-7
Energies International Journal 2023 9 Kanakaraj Parangusam, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Ramesh Lekshmana, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Tomas Gono, VSB-Technical University of Ostrava, Ostrava, Czech Republic, Faculty of Electrical Engineering and Computer Science, Not Available|Radomir Gono, VSB-Technical University of Ostrava, Ostrava, Czech Republic, Faculty of Electrical Engineering and Computer Science, Not Available Chennai 16 18 6681 0.947 0.651 3.000 6.200 Q1 Q3 1996-1073 1996-1073 Electricity demand has increased tremendously in recent years, due to the fact that all sectors require energy for their operation. Due to the increased amount of modern home appliances on the market, residential areas consume a significant amount of ener Transformer,Economics,Engineering,Electrical Engineering,Biology,Voltage,Electricity,Mechanical Engineering,Computer Science,Agronomy,Air conditioning,Architectural engineering,Controller (irrigation),Incentive,Microeconomics,Occupancy,Peak demand http://dx.doi.org/10.3390/en16186681 10.3390/en16186681
Indonesian Journal of Electrical Engineering and Computer Science International Journal 2023 7 Sankarakutti Palanichamy Manikandan, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electronics and Communication Engineering|Vedanandam Karthikeyan [325443], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Ganesamoorthy Nalinashini, Not Available, Kavaraipettai, India, R.M.D. Engineering College, Electronics and Instrumentation Engineering Chennai 31 3 1372 0.579 0.247 2.900 Q2 2502-4752 2502-4760 The number of people diagnosed with skin cancer is increasing sharply. Both invasive and non-invasive methods of examination may be used to investigate it. However, the invasive method is more difficult for the patient because samples must be taken from t Machine Learning,Artificial Intelligence,Deep Learning,cancer,Medicine,Skin Cancer,Dermatology,Cancer Research,Internal Medicine,Computer Science,Melanoma,Art,ARCHITECTURE,Visual Arts,Contextual image classification,Image (mathematics),Pattern recognition (psychology),Discriminative model,Skin lesion http://dx.doi.org/10.11591/ijeecs.v31.i3.pp1372-1381 10.11591/ijeecs.v31.i3.pp1372-1381
Indonesian Journal of Electrical Engineering and Computer Science International Journal 2023 8 08/01/2023 00:00:00 Chelladurai Chandarahasan, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Edwin Sheeba Percis [325460], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering Chennai 31 2 609 0.579 0.247 2.900 Q2 2502-4752 2502-4760 Due to its inherent geographical potential for wind/solar power and other renewable energy sources (RES) generation, Tamil Nadu is one of the pioneering Indian states in the early development and utilisation of RES. Tamil Nadu accounts for roughly 25% of Quantum Mechanics,Renewable energy,Linguistics,Mathematics,Economics,Engineering,Geography,Geometry,Philosophy,Electrical Engineering,Physics,Environmental Science,Computer Science,Grid,Reliability Engineering,environmental economics,Cartography,Power (physics),Scale (ratio),Electric power system,Wind power,Tamil http://dx.doi.org/10.11591/ijeecs.v31.i2.pp609-616 10.11591/ijeecs.v31.i2.pp609-616
SSRG International Journal of Electronics and Communication Engineering National Journal 2023 7 07/31/2023 00:00:00 Ranjit Singh, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|L Ramesh [325458], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering Chennai 10 7 211 220 2348-8549 2348-8549 Microgrid technology is an alternative to the central grid for the electrification of the whole world and is termed an energy grid that can disconnect itself from the traditional grid and run independently. The grid acts as a bridge to connect residential Machine Learning,Artificial Intelligence,Quantum Mechanics,Particle swarm optimization,Fuzzy logic,control engineering,PID controller,Mathematics,Engineering,Geometry,Physics,Biology,Telecommunications,Computer Science,Temperature Control,Agronomy,Grid,Microgrid,Power (physics),Control (management),Control theory (sociology),Automatic frequency control,Electric power system,Controller (irrigation),Overshoot (microwave communication) http://dx.doi.org/10.14445/23488379/IJEEE-V10I7P119 10.14445/23488379/IJEEE-V10I7P119
SSRG International Journal of Electronics and Communication Engineering National Journal 2023 6 06/30/2023 00:00:00 Devaraj V, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Mathivanan Kumaresan [325442], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electronics and Communication Engineering Chennai 10 6 58 69 2348-8549 2348-8549 In the case of hybrid power generation systems, frequency deviation is a serious concern. Load frequency control of a Fuel cell, solar and wind-based hybrid power generation system is interconnected with a microgrid. Proportional-Integral-Derivative (PID) Artificial Intelligence,Quantum Mechanics,Fuzzy logic,control engineering,MATLAB,PID controller,Engineering,Electrical Engineering,Physics,Voltage,Telecommunications,Computer Science,Temperature Control,Microgrid,Operating system,Power (physics),Control (management),Control theory (sociology),Automatic frequency control,Electric power system http://dx.doi.org/10.14445/23488379/IJEEE-V10I6P107 10.14445/23488379/IJEEE-V10I6P107
International Transactions on Electrical Energy Systems International Journal 2023 10 S T Rama, Sathyabama Institute of Science and Technology, Chennai, India, Not Available;School of Electrical and Electronics, Electrical and Electronics Engineering;Not Available|Rama S T [325513], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Rajini V, Not Available, Chennai, India, SSN College of Engineering, Not Available|V Rajini, Sri Sivasubramaniya Nadar College of Engineering, Chennai, India, Not Available, Electrical and Electronics Engineering Chennai 2023 1 35 0.789 0.577 1.900 6.700 Q1 Q3 2050-7038 The global demand of electrical power has increased enormously due to various reasons such as fast-changing and challenging technologies, climatic change, economic growth, and lifestyle of mankind. Due to global warming issues and the depletion of convent Artificial Intelligence,Renewable energy,control engineering,PID controller,Engineering,Electrical Engineering,Biology,Total Harmonic Distortion,Voltage,Harmonics,Computer Science,Temperature Control,Agronomy,Microgrid,Electronic Engineering,Control (management),Control theory (sociology),Controller (irrigation) http://dx.doi.org/10.1155/2023/5585420 10.1155/2023/5585420
International Journal of Ambient Energy International Journal 2023 11 11/30/2023 00:00:00 Kanakaraj Parangusam, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|L Ramesh [325458], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering Chennai 45 1 0.774 0.426 5.900 Q1 0143-0750 2162-8246 The electrical load is ever-increasing in the residential grid, there is a necessity to increase power generation to meet the demand (or) the centralized battery energy storage system can provide part of the generation. This paper describes the implementa Quantum Mechanics,Civil Engineering,Photovoltaic System,Economics,Engineering,Electrical Engineering,Physics,Automotive Engineering,Payback Period,Art,Reliability Engineering,macroeconomics,Visual Arts,Power (physics),Battery (electricity),Production (economics),Sizing,Apartment http://dx.doi.org/10.1080/01430750.2023.2282167 10.1080/01430750.2023.2282167
Scientific Reports International Journal 2023 11 11/09/2023 00:00:00 P Ezhilarasi, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electronics and Communication Engineering|L Ramesh [325458], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|P Sanjeevikumar, University of South-Eastern Norway, Notodden, Norway, Not Available, Not Available|Baseem Khan, Hawassa University, Hawassa, Ethiopia, Not Available, Electrical and Computer Engineering Chennai 13 1 1.182 0.900 3.800 1.300 Q1 Q1 2045-2322 Revamping the power grid into a smart grid and modernizing it with advanced metering infrastructure are essential steps in addressing ongoing energy challenges. Smart meters play a pivotal role in power grid modernization by providing real-time energy-rel Smart Grid,Mathematics,Economics,Engineering,Geometry,Business,Electrical Engineering,Telecommunications,Mechanical Engineering,Computer Security,Computer Science,Grid,environmental economics,Operating system,Risk analysis (engineering),Software deployment,Smart meter,Metering mode http://dx.doi.org/10.1038/s41598-023-44149-9 10.1038/s41598-023-44149-9
International Journal of Global Energy Issues International Journal 2023 12 Ranjit Singh, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|L Ramesh [325458], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering Chennai 46 0.5 112 136 0.332 0.184 0.500 1.500 Q3 Q4 0954-7118 1741-5128 This paper focuses on analysing the frequency error in interconnected microgrids and reducing the generation cost, which is considered one of the objective functions. The Simulink model shows the connection between two microgrids, i.e., microgrid 1 compri Machine Learning,Artificial Intelligence,Renewable energy,Particle swarm optimization,control engineering,MATLAB,PID controller,Biochemistry,Engineering,Electrical Engineering,Gene,Chemistry,Telecommunications,Computer Science,Temperature Control,Microgrid,Operating system,Robustness (evolution),Control (management),Control theory (sociology),Automatic frequency control http://dx.doi.org/10.1504/IJGEI.2024.135249 10.1504/IJGEI.2024.135249
SSRG International Journal of Electrical and Electronics Engineering Journal 2023 10 10/31/2023 00:00:00 Kanakaraj Parangusam, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|L Ramesh [325458], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|R Narayanamoorthi, Not Available, Chennai, India, SRM Institute of Science and Technology, Electrical and Electronics Engineering Chennai 10 10 165 175 0.473 0.168 1.100 Q4 2348-8379 In recent years, smart household appliances have led to an increase in residential electricity usage. Peak loads are created by these appliances in residential distribution systems. At peak times, residential distribution power consumption exceeds grid po Quantum Mechanics,Renewable energy,Demand Response,Smart Grid,Mathematics,Economics,Engineering,Geometry,Sociology,Electrical Engineering,Physics,Distributed Generation,Electricity,Computer Science,Grid,Reliability Engineering,environmental economics,Power (physics),Social science,Electric power system,Consumption (sociology),Load shifting,Peak demand,Peaking power plant http://dx.doi.org/10.14445/23488379/IJEEE-V10I10P116 10.14445/23488379/IJEEE-V10I10P116
Acta Histochemica International Journal 2023 1 Thirunavukkarasu Palaniyandi [326097], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Biotechnology|Kanagavalli B, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Biotechnology|Pranav Prabhakaran, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Biotechnology|Sandhiya Viswanathan, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Biotechnology|Mugip Rahaman A, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Biotechnology|Sudhakar Natarajan, Not Available, Chetpet, India, ICMR - National Institute for Research in Tuberculosis, Not Available|Kaliyamoorthy Senthil Kumar [325438], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electronics and Communication Engineering|Saravanan Kumarasamy [326472], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering Chennai 125 2 151997 0.589 0.548 2.300 4.600 Q2 Q4 0065-1281 1618-0372 One of the areas of science which has immensely advanced in the recent years is nanotechnology. This area broadly revolves around matter at scales between 1 and 100 nm, where peculiar phenomena make way for cutting-edge applications. Today, nanotechnology Pathology,Materials Science,Nanotechnology,Inflammatory Bowel Disease,Medicine,Disease,Inflammatory Bowel Diseases,Nanosensor,Applications of nanotechnology http://dx.doi.org/10.1016/j.acthis.2023.151997 10.1016/j.acthis.2023.151997
SSRG International Journal of Electrical and Electronics Engineering Journal 2023 11 11/30/2023 00:00:00 Ramani R [327230], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Anandhan Nalini, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering Chennai 10 11 115 127 0.473 0.168 1.100 Q4 2348-8379 The advancement of science and technology has resulted in a wide range of electric energy sources such as solar, hydro, wind, etc. Electricity is transmitted from these energy sources to metropolises, companies and home environments for life and work. Mod Quantum Mechanics,Renewable energy,Photovoltaic System,Engineering,Electrical Engineering,Physics,Biology,Voltage,Computer Science,Boost Converter,Automotive Engineering,Agronomy,Duty Cycle,Power (physics),Battery (electricity),Controller (irrigation) http://dx.doi.org/10.14445/23488379/IJEEE-V10I11P111 10.14445/23488379/IJEEE-V10I11P111
International Journal of Speech Technology International Journal 2022 12 05/16/2022 00:00:00 12/01/2022 00:00:00 Anguraj D K, Koneru Lakshmaiah Education Foundation, Vaddeswaram, India, KL College of Engineering, Computer Science and Engineering|Anitha J, Not Available, Secunderabad, India, Malla Reddy Engineering College (A), Department of CSE|Thangaraj S J J, Not Available, Chennai, India, Saveetha Institute of Medical and Technical Sciences (SIMATS), Not Available|Ramesh L, Not Available, Chennai, India, Dr MGR Educational and Research Institute, Not Available|Rama Krishna S, Not Available, Tiruppur, India, CreovSys Solutions India Private Limited, Not Available|Mythrayee D, Not Available, Tiruppur, India, CreovSys Solutions India Private Limited, Not Available|Dinesh Kumar Anguraj, Koneru Lakshmaiah Education Foundation, Vaddeswaram, India, KL College of Engineering, Computer Science and Engineering|J Anitha, Not Available, Dhulapally, India, Malla Reddy Engineering College, Computer Science and Engineering|S John Justin Thangaraj, Not Available, Chennai, India, Saveetha Institute of Medical and Technical Sciences, Computer Science and Engineering|L Ramesh [325458], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Seetha Rama Krishna, Not Available, Tiruppur, India, CreovSys Solutions India Private Limited, Not Available|D Mythrayee, Not Available, Tiruppur, India, CreovSys Solutions India Private Limited, Not Available Chennai 25 4 907 920 1.097 0.485 5.000 Q1 1381-2416 1572-8110 There is a drastic need for extracting information from non-linguistic features of the audio sources. It leads to the eminent rise of speech technology over the past few decades. It is termed computational para-linguistics. This research concentrates on extracting and providing a robust feature that examines the characteristics of speech data. The factors are analysed in a spectral way which stimulates the auditory elements. The speech enhancement technological process is being initiated with pre-processing, feature extraction, and classification. Initially, the input data conversion is done with ADC of 16 kHz sampling frequency. The spectral features are extracted with minimal Mean Square Error to enhance the re-construction ability and eliminate the redundancy characteristics. Finally, the deep neural network is adopted for multi-class classification. The simulation is performed in MATLAB 2020a environment, and the empirical outcomes are evaluated with existing approaches. Here, metrics like Mean Square Error, accuracy, Signal-to-Noise ratio (SNR) and features retained are computed efficiently. The anticipated model shows a trade-off in contrast to prevailing approaches. The outcomes demonstrate a better recognition rate and offer significant characteristics in selecting the most influencing features. Artificial Intelligence,Linguistics,Artificial Neural Network,Feature Extraction,Mathematics,Philosophy,Speech Recognition,Statistics,Computer Science,Image (mathematics),Operating system,Pattern recognition (psychology),Noise (video),Feature (linguistics),Word error rate,Mean squared error,Redundancy (engineering) https://doi.org/10.1007/s10772-022-09974-9 10.1007/s10772-022-09974-9
Convergence of Deep Learning and Internet of Things International Book Chapter 2022 12 Kesavan Sujatha [325459], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Sivanand R, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Balasubramanian Rengammal Sankari [326129], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Latha Balasubramanian, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Humanities and Sciences, Physics|Tamilselvi C [325427], Dr. MGR Educational and Research Institute, Chennai, India, Not Available, Not Available|Selvanathan Krishnaveni, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering Chennai 224 244 978-1-6684-6275-1 Convergence of Deep Learning and Internet of Things Artificial Intelligence,Quantum Mechanics,Meteorology,Artificial Neural Network,Organic Chemistry,Engineering,Geography,Physics,Thermal,Chemistry,Computer Science,Nox,Combustion,Operating system,Process (computing),Power (physics),Consistency (knowledge bases) http://dx.doi.org/10.4018/978-1-6684-6275-1.ch011 10.4018/978-1-6684-6275-1.ch011
Lecture Notes in Electrical Engineering International Conference 2022 6 06/26/2022 00:00:00 Sendilvelan Subramanian, Dr. MGR Educational and Research Institute, Chennai, India, Not Available, Not Available|Kesavan Sujatha [325459], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Geetha Soman [325423], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Computer Science and Engineering|Kanimozhi Natanam, Not Available, Mayiladuthurai, India, A.V.C. College of Engineering, Not Available|Kanya Nataraj [325426], Dr. MGR Educational and Research Institute, Chennai, India, Not Available, Not Available|Rajeswary Hari, Dr. MGR Educational and Research Institute, Chennai, India, Not Available, Not Available|Gomathi Kannayiram [325630], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Biotechnology|Jayalatsumi Umapathy [326239], Dr. MGR Educational and Research Institute, Chennai, India, Not Available, Not Available Chennai 13 26 0.145 0.147 0.700 Q4 1876-1100 1876-1119 Alcohol consumption when exceeds the limit causes an alarming situation where the person is prone to various diseases like liver cirrhosis, increased blood sugar, blood pressure, mental disorders, impotency, road accidents and violence under the influence Machine Learning,Artificial Intelligence,Linguistics,Artificial Neural Network,Medicine,Environmental Health,Biochemistry,Philosophy,Biology,Multilayer Perceptron,Computer Science,Addiction,Psychiatry,Alcohol,Tamil http://dx.doi.org/10.1007/978-981-19-1111-8_2 10.1007/978-981-19-1111-8_2
Lecture Notes in Electrical Engineering International Conference 2022 6 06/26/2022 00:00:00 K Anitha, Dr. MGR Educational and Research Institute, Chennai, India, Not Available, Not Available|Shailesh, Dr. MGR Educational and Research Institute, Chennai, India, Not Available, Not Available|L Ramesh [325458], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Murugananth Gopal Raj, Not Available, Palakkad, India, Ahalia School of Engineering and Technology, Not Available Chennai 1081 1090 0.145 0.147 0.700 Q4 1876-1100 1876-1119 Energy conservation plays a crucial role in terms of economic and environmental benefit. Currently, the society depends more on non-renewable energy resources which is to be converted as renewable sources. Hence, renewable sources dependency rate can be r Renewable energy,Greenhouse Gas,Ecology,Mathematics,Energy Conservation,Economics,Engineering,Business,Statistics,Electrical Engineering,Biology,Environmental Science,Computer Science,environmental economics,Accounting,Operating system,Process (computing),Audit,Energy (signal processing),Environmental resource management,Efficient energy use,Energy engineering,Energy accounting http://dx.doi.org/10.1007/978-981-19-1111-8_83 10.1007/978-981-19-1111-8_83
Lecture Notes in Networks and Systems International Conference 2022 6 06/23/2022 00:00:00 Kesavan Sujatha [325459], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|N P G Bhavani, Not Available, Chennai, India, Saveetha School of Engineering, Electronics and Communication Engineering|Umapathy Jayalatsumi [326239], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electronics and Communication Engineering|Thangavel Kavitha [325580], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Civil Engineering|R Krishnakumar, Not Available, Chennai, India, Vels Institute of Science, Technology and Advanced Studies, Not Available|Kaliyamoorthy Senthil Kumar [325438], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electronics and Communication Engineering|A Ganesan, Not Available, Chennai, India, RRASE College of Engineering, Electrical and Electronics Engineering|A Kalaivani, Not Available, Chennai, India, Saveetha School of Engineering, Computer Science and Engineering|Rajeswary Hari, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Biotechnology|Antony Xavier Bronson, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Biotechnology|S K Shafiya, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electronics and Communication Engineering Chennai 431 440 0.282 0.171 0.900 Q4 2367-3370 2367-3389 The proposed online-based malnutrition-induced anemia detection smart phone app is built, to remotely measure and monitor the anemia and malnutrition in humans by using a non-invasive method. This painless method enables user-friendly measurements of huma Artificial Intelligence,Linguistics,Medicine,Philosophy,Telecommunications,Multimedia,Internal Medicine,Computer Science,Malnutrition,Anemia,Vitamin B12,Mobile phone,Phone,Smart phone,Hemoglobin http://dx.doi.org/10.1007/978-981-19-0095-2_41 10.1007/978-981-19-0095-2_41
Lecture Notes in Networks and Systems International Conference 2022 6 06/10/2022 00:00:00 Kesavan Sujatha [325459], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|N P G Bhavani, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|K Krishnakumar, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Umapathy Jayalatsumi [326239], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electronics and Communication Engineering|T Kavitha, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Kaliyamoorthy Senthil Kumar [325438], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electronics and Communication Engineering|V Srividhya, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electronics and Communication Engineering|S K Shafiya, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electronics and Communication Engineering Chennai 431 439 0.282 0.171 0.900 Q4 2367-3370 2367-3389 Background: Presently, the diagnosis of coronavirus-2019 (COVID-19) is a challenging task worldwide as the disease is spreading at a very faster rate when one person with the disease comes into contact with the other. Current information denotes that seve Machine Learning,Artificial Intelligence,Deep Learning,Pathology,Linguistics,Artificial Neural Network,Medicine,Disease,Convolutional Neural Network,Philosophy,Psychology,Speech Recognition,Computer Science,Coronavirus Disease 2019 (covid-19),Social Psychology,Pattern recognition (psychology),Real-time computing,Novelty,Infectious disease (medical specialty),Phone http://dx.doi.org/10.1007/978-981-19-0098-3_42 10.1007/978-981-19-0098-3_42
2022 8th International Conference on Smart Structures and Systems (ICSSS) International Conference 2022 6 Priya M Sathya, Not Available, Chennai, India, TJS Engineering College, Electronics and Communication Engineering|P Velrajkumar, Not Available, Bangalore, India, CMR Institute of Technology, Electrical and Electronics Engineering|P Lavanya, Not Available, Chennai, India, MNM Jain Engineering College, Electronics and Communication Engineering|L Ramesh [325458], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|C Senthilpari, Multimedia University, Cyberjaya, Malaysia, Not Available, Not Available Chennai 1 5 Communications plays the major role for sharing our thoughts and make others to understand our point of view. But the major difficulty faced by the deaf and dumb people is speaking and hearing illness. Dumb people use sign language to convey their thought Artificial Intelligence,Internet of Things,Linguistics,Automation,Raspberry Pi,Mathematics,Mathematical Analysis,Engineering,Geometry,Home Automation,Philosophy,Telecommunications,Multimedia,Gesture Recognition,Mechanical Engineering,Computer Science,World Wide Web,Gesture,Sign (mathematics),Sign language,Point (geometry),Human–computer interaction http://dx.doi.org/10.1109/ICSSS54381.2022.9782194 10.1109/ICSSS54381.2022.9782194
Lecture Notes in Networks and Systems International Conference 2022 9 S Prasanna Devi, Not Available, Vadapalani, India, SRM Institute of Science and Technology, Computer Science and Engineering|S Manivannan, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|J Arunnehru, Not Available, Chennai, India, SRM Institute of Science and Technology, Computer Science and Engineering Chennai 597 609 0.282 0.171 0.900 Q4 2367-3370 2367-3389 978-9-8119-2224-4 This paper introduces a new hybrid approach that uses the output of Taguchi design of experiment (DOE) matrix to train an adaptive neuro-fuzzy inference system (ANFIS) model, and the rules of the ANFIS model are used to perform multiobjective optimization Not Available http://dx.doi.org/10.1007/978-981-19-2225-1_52 10.1007/978-981-19-2225-1_52
Advances in Intelligent Systems and Computing International Conference 2022 12 K Sujatha [325459], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|N P G Bhavani, Saveetha University, Chennai, India, Saveetha School of Engineering, Electronics and Communication Engineering|Umapathy Jayalatsumi [326239], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electronics and Communication Engineering|T Kavitha [325580], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Civil Engineering|Latha Balasubramanian, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Humanities and Sciences, Physics|A Ganesan, Not Available, Chennai, India, RRASE College of Engineering, Electrical and Electronics Engineering|A Kalaivani, Saveetha University, Chennai, India, Saveetha School of Engineering, Computer Science Engineering Chennai 263 271 0.373 0.215 0.900 Q3 2194-5357 2194-5365 978-9-8119-5442-9 Sentiment Analysis and Deep Learning Not Available http://dx.doi.org/10.1007/978-981-19-5443-6_20 10.1007/978-981-19-5443-6_20
Electrical Engineering & Electromechanics International Journal 2022 7 07/08/2022 00:00:00 Merlin Suba Gabriel, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|M Kumaresan [325442], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering Chennai 4 34 43 2074-272X 2309-3404 Introduction. The high voltage gain DC-DC converters are increasingly used in many power electronics application systems, due to their benefits of increased voltage output, reduced noise contents, uninterrupted power supply, and ensured system reliability Artificial Intelligence,power electronics,Materials Science,Engineering,Electrical Engineering,Biology,Silicon Carbide,Voltage,Dc Motor,Harmonics,Computer Science,Converters,Metallurgy,Boost Converter,Agronomy,Electronic Engineering,Control (management),Control theory (sociology),Controller (irrigation) http://dx.doi.org/10.20998/2074-272X.2022.4.05 10.20998/2074-272X.2022.4.05
Advances in Science and Technology International Journal 2022 8 08/29/2022 00:00:00 Sivanand R [424618], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Vasu Gajendiran, University of Technology and Applied Sciences, Not Available, Oman, Not Available, Chemical Engineering|Raffik R, Not Available, Coimbatore, India, Kumaraguru College of Technology, Mechatronics Engineering|Anmol Sharma, Guru Gobind Singh Indraprastha University, Delhi, India, Not Available, Mechanical and Automation Engineering|Kumud Pant, Graphic Era Deemed to be University, Dehradun, India, Not Available, Biotechnology Chennai 117 9 16 1662-0356 1662-0356 nanomaterials,Nanoparticle,Materials Science,Nanotechnology,Organic Chemistry,Graphene,Chemistry,Diamond,Tribology,Lubrication,Composite Material,Carbon fibers,Composite number,Fullerene,Carbon nanotube,Coating,Lubricity,Nanodiamond http://dx.doi.org/10.4028/p-s2ba29 10.4028/p-s2ba29
Computer Systems Science and Engineering International Journal 2022 8 Mythreyee Madhavan [326784], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Nalini A [325461], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering Chennai 45 1 819 837 0.739 0.357 3.100 Q2 0267-6192 This work presents the smart grid system for distributed Renewable Energy Sources (RES) with control methods. The hybrid MicroGrids (MG) are trending in small-scale power systems that involve distributed generations, power storage, and various loads. RES Renewable energy,control engineering,PID controller,Maximum Power Point Tracking,Photovoltaic System,Engineering,Electrical Engineering,Biology,Inverter,Voltage,Computer Science,Boost Converter,Temperature Control,Agronomy,Electronic Engineering,Controller (irrigation) http://dx.doi.org/10.32604/csse.2023.028525 10.32604/csse.2023.028525
International Journal of Electrical and Electronics Research National Journal 2022 6 06/30/2022 00:00:00 Vijayaprabhu A, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Mathivanan Kumaresan [325442], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electronics and Communication Engineering Chennai 10 2 282 289 0.551 0.171 1.700 Q3 2347-470X Design of an improved Permanent Magnet Synchronous Generator (PMSG) wind turbine power based Current Fed Inverter (CFI) using Model Predictive Controller (MPC) is proposed in this paper. Optimum torque control is proposed in wind energy conversion system, Artificial Intelligence,MATLAB,Thermodynamics,Induction Motor,Engineering,Electrical Engineering,Physics,Biology,Inverter,Model Predictive Control,Voltage,Mechanical Engineering,Torque,Computer Science,Agronomy,Operating system,Control (management),Control theory (sociology),Wind power,Controller (irrigation),Turbine,Direct torque control,Stator,Permanent magnet synchronous generator,Magnet http://dx.doi.org/10.37391/IJEER.100238 10.37391/IJEER.100238
Indonesian Journal of Electrical Engineering and Computer Science International Journal 2022 10 Mythreyee Madhavan [326784], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Nalini A [325461], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering Chennai 29 1 75 0.579 0.247 2.900 Q2 2502-4752 2502-4760 This research analyses the introduction of unified power quality control (UPQC) to mitigate the power quality problems, which is caused by using power electronics devices. In this article, the challenges in power quality, the suggested UPQC control approa Artificial Intelligence,Quantum Mechanics,control engineering,MATLAB,Engineering,Power Factor,Power Quality,Electrical Engineering,Physics,Voltage,Harmonics,Computer Science,Power Control,Microgrid,Electronic Engineering,Operating system,Power (physics),Control (management),Control theory (sociology),Static VAR compensator,AC power http://dx.doi.org/10.11591/ijeecs.v29.i1.pp75-84 10.11591/ijeecs.v29.i1.pp75-84
International Journal of Engineering Trends and Technology National Journal 2022 10 10/31/2022 00:00:00 V Devaraj, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Mathivanan Kumaresan [325442], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electronics and Communication Engineering Chennai 70 10 166 187 2231-5381 2231-5381 In this paper proposes an intelligent hybrid approach for load-frequency control (LFC) in the islanded micro-grids incorporating various resources like Photovoltaic (PV), Wind Turbine (WT), fuel Cell (FC), Diesel Engine Generator (DEG) and Battery Energy Artificial Intelligence,Renewable energy,Engineering,Electrical Engineering,Law,Environmental Science,Computer Science,politics,Political Science,Control (management),Control theory (sociology),Automatic frequency control,Elite http://dx.doi.org/10.14445/22315381/IJETT-V70I10P217 10.14445/22315381/IJETT-V70I10P217
International Journal of Integrated Engineering International Journal 2022 12 12/31/2022 00:00:00 Kamalahasan Murugan [326489], Dr. MGR Educational and Research Institute, Chennai, India, Research Centres, Advanced Research Institute|T Raghu, Dr. MGR Educational and Research Institute, Chennai, India, Research Centres, Advanced Research Institute|B Swapna [325455], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electronics and Communication Engineering|Saravanan Kumarasamy [326472], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|D Manjula, Not Available, Coimbatore, India, Sri Ramakrishna Engineering College, Mathematics Chennai 14 7 0.330 0.198 0.400 1.400 Q3 Q4 2229-838X The REASOSE is not just an Ocean surface vehicle, its poly-type smart autonomous propulsion which eliminates the limitations of existing surface vehicles (remotely operated). The renewable energy source always proved to be abundance of availability in the Renewable energy,Aerospace Engineering,Marine Engineering,Engineering,Electrical Engineering,Environmental Science,Computer Science,Automotive Engineering,Real-time computing,Propulsion,Propellant http://dx.doi.org/10.30880/ijie.2022.14.07.001 10.30880/ijie.2022.14.07.001
Revue d'Intelligence Artificielle International Journal 2022 12 12/23/2022 00:00:00 Sankarakutti Palanichamy Manikandan, Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Vedanandam Karthikeyan [325443], Dr. MGR Educational and Research Institute, Chennai, India, Faculty of Engineering and Technology, Electrical and Electronics Engineering|Ganesamoorthy Nalinashini, Not Available, Kavaraipettai, India, R.M.D. Engineering College, EIE Chennai 36 5 801 807 0.609 0.278 2.600 Q3 0992-499X 1958-5748 The incidence of skin cancer is rapidly increasing worldwide. The relevance of Skin Cancer Diagnosis (SCD) and the difficulty in achieving an accurate and consistent diagnosis have resulted in significant research interest. Furthermore, automated detectio Artificial Intelligence,Deep Learning,Convolutional Neural Network,Computer Science,Classifier (UML),Contextual image classification,Image (mathematics),Pattern recognition (psychology),Softmax function http://dx.doi.org/10.18280/ria.360519 10.18280/ria.360519