About the Book
The book discusses the latest developments and outlines future trends in the fields of microelectronics, electromagnetics, and telecommunication. It contains original research works presented at the International Conference on Microelectronics, Electromagnetics and Telecommunication (ICMEET 2024), organized by Department of Electronics and Communication Engineering, National Institute of Technology Mizoram, India, during 19-20 December 2024. The book is divided into four volumes, and it covers papers written by scientists, research scholars, and practitioners from leading universities, engineering colleges, and R&D institutes from all over the world and shares the latest breakthroughs in and promising solutions to the most important issues facing today's society.
Table of Contents:
Land Use and Land Cover Analysis on LISS-III Multispectral Images Using U-Net Deep Learning Model.- Automated Question Paper Generator System.- Robust DRCNN Models for the Detection and Categorization of Mango Leaf Diseases in Precision Agriculture.- Identification of Credit Card Fraud Utilizing Hybrid Deep Learning Models with Improved Precision and Minimized False Positives.- RNN-based wildlife hazard detection and human warning system.- Safe Step-Android Application for Women's Safety.- Automated Wearable Tech: Advancing Coal Mine Safety Device.- Fruit Recognition and Calorie Estimation using YOLO.- Breast Cancer Subtype Classification through Machine Learning on Gene Expression Profiles.- ProfitHarvest: Crop Recommendation for Sustainable Farmer Income Growth.- Automating grocery shopping: from list to cart.- Design and Analysis of Dual band Transverse Electric Mode Antenna.- Novel Optimal Arbitrary Order Based Enriched Model Reference Adaptive Control Scheme for Under-actuated System.- Predicting Diabetes Risk Using Advanced Machine Learning Techniques: A Comparative Analysis.- Utilizing Single Short Multi Box Detection (SSD) In ISL Recognition Systems to Enhance Feature Extraction and Translation Capabilities.- Symptom-Based Diabetes Likelihood Prediction Using Machine Learning and Big Data.- Time Series Anomaly Detection Via Lstm Autoencoders: A Predictive Analytics Framework.- Smart Waste Management System with a Barcode-Enabled Sorting Container for Enhanced Recycling Efficiency (CYCLECODE).- Handwriting Recognition Using CRNNs.- Forecasting Traffic Volume using Dual Ensemble Regressor.- Statistical Analysis of Time Series Data.- Music Recommendation Based on User’s Emotion Detected from Facial Expressions.- A Comparative Study of the Schooling Education System with Adaptation of Emerging Technologies.- Promoting Health Support System Design on Social Media Posts using machine learning.- Wearable Device-Stress and Health Monitoring.- Pneumonia Detection In Chest X-Rays Using Feature-Level Ensemble Learning.- A Novel 35 Level Asymmetrical Reduced Switch Multilevel Inverter for Hybrid Electric Vehicles.- An Analysis of two Deep Learning based Image Compression frameworks suitable for possible Wireless Communication Applications.- Understanding and Prediction of Electronic Gadgets Addiction Using Machine learning.- Analysis of Grid Load Requirement using Numeric Prediction Models.- Land Cover Classification using Vision Transformers for Satellite image data.- Design and Finite Element Analysis of the forces developed in Horizontal repulsive passive type magnetic bearing varying different physical parameters using ANSYS.- Prediction of Harmful Brain Activity Using Predictive Analytics.- The Roots of Adolescent Drug Use: A Review of Sociocultural, Psychological, and Environmental Influences.- Study on AI and AR in the Digital Era Revolutionizing Indian Higher Studies: Students’ Perspective.- A Survey paper on Analysis of Biases in Restaurant.- Autonomous Traffic Flow Control Through V2x Communication.- A Computer Vision based Methodology for detecting animal intrusion in farmlands.- Analysis of the Central Limit Theorem-Driven Numerosity Reduction Technique: Implications for Binary Classification Algorithm Performance and Training Duration.- An Efficient Parallel Distribution of N-Hop Neighborhoods on Scatter Network Environment.- Performance Analysis of Bidirectional Dual-Active-Bridge Isolated DC–DC Converter Using EPS Modulation.- IoT-Driven Deep Learning Model for Fault Detection in Solar Panels Using Image-Based Analysis.- IoT based Health and Sleep Quality Prediction Using Stacked Ensemble Regressors.- Smart Road Guard: Design of Intelligent Monitoring System.- Design of Myoelectric Hand Controlled by Muscle Bulge for the Amputees.- Exploring Diverse Assistive Technologies for Enhancing Communication and Sensory Perception.- Automated ARPU Prediction System for Mobile Value-Added Services.- Resume Parser for Computer Science and Information Technology Domains Using Text Mining.- Examining The Impact of Sustainable Practices in Technology Project Management with Quantitative Study Among SMEs in the Technology Industry.
About the Author :
Vikrant Bhateja is associate professor in Department of Electronics Engineering, Faculty of Engineering and Technology (UNSIET), Veer Bahadur Singh Purvanchal University, Jaunpur, Uttar Pradesh, India. He is also serving as Head: Computer Sc. Engg. & Information Technology in the same university. He holds a doctorate in ECE (Bio-Medical Imaging) with a total academic teaching experience of 21 years with around 190 publications in reputed international conferences, journals and online book chapter contributions; out of which 40 papers are published in SCIE indexed high impact factored journals. One of his papers published in Review of Scientific Instruments (RSI) Journal (under American International Publishers) has been selected as "Editor Choice Paper of the Issue'' in 2016. Among the international conference publications, five papers have received "Best Paper Award''. He has been instrumental in chairing/co-chairing around 30 international conferences in India and abroad as Publication/TPC chair and edited 55 book volumes from Springer-Nature as a corresponding/co-editor/author on date. He has delivered nearly 25 keynotes, invited talks in international conferences, ATAL, TEQIP and other AICTE sponsored FDPs and STTPs. He has been Editor-in-Chief of IGI Global--International Journal of Natural Computing and Research (IJNCR) journal from 2017-22. He is guest editor in journals like: Elsevier: Measurement, Springer: Evolutionary Intelligence. He is Senior Member of IEEE and Life Member of CSI. published research has a current h-index of 35 on google scholar. Wendy Flores-Fuentes received the master's degree in engineering from Technological Institute of Mexicali in 2006, and the Ph.D. degree in science, applied physics, with emphasis on Optoelectronic Scanning Systems for SHM, from Autonomous University of Baja California in June 2014. She has more than 115 publications which includes journal articles in Elsevier, IEEE Emerald and Springer, book chapters and books in Intech, IGI global and Springer, proceedings articles in IEEE. She has been a panel reviewer of Taylor and Francis, IEEE, Elsevier, and EEMJ (Gh. Asachi Technical University of Iasi. Currently, she is a full-time professor-researcher at Universidad Autónoma de Baja California, at the Faculty of Engineering. Anagha Bhattacharya (Member, IEEE) is an Assistant Professor with the Department of Electrical Engineering, NIT Mizoram. He has 15 years of teaching and research experience. His research interests include power systems operation and control, microgrids, and distributed generation. He has taught following courses at UG and PG level: Power systems, Control Systems/ Modern Control Systems, Power electronics, High Voltage, HVDC, Renewable energy Systems, Sampled Data and Digital Control Systems, Power Systems Protection. Sarika Shrivastava is B.E. in Electrical Engineering, MBA in Marketing, M. Tech. in Power System and Ph.D. in Engineering. She is Director & Professor, Ashoka Institute of Technology & Management, Varanasi, India. She has got 25 years of academic & research experience. She serves as the Advisor to Uravu Lab in Bengaluru, India. She is Member of Examination Committee and Borad of Studies of AKTU. She is a Fellow of The Institution of Engineers, a member of IEEE & System Dynamics Society. Her research contributions include publications in international journals, conference proceedings, and book chapters. Her research areas are sustainability, leadership, power system operation and control, wind energy technology, electric vehicle technologies, grid integration, and the application of artificial intelligence in healthcare and energy.
