Emerging Trends in Electrical and Computer Technologies: Taylor and Francis Proceedings in Computer Science and Engineering
Editat de Thangaprakash Sengodan, Sanjay Misra, Murugappan M.en Limba Engleză Hardback – 19 noi 2026
The book discusses a dynamic exchange of ideas across multiple critical domains, including Artificial Intelligence, Communication Engineering, Data Science, Information Technology, and Electrical Drives & Power Systems Engineering. It provides cutting-edge research on various subsets of Artificial Intelligence, encompassing machine learning algorithms, deep learning architectures, and neural network models. The volume explores advanced communication protocols, signal processing techniques, and network optimization strategies within Communication Engineering. In the realm of Data Science, it addresses big data analytics, predictive modeling, and data visualization methodologies. The book examines renewable energy integration, smart grid technologies, motor control systems, and power electronics applications, providing comprehensive insights into modern electrical infrastructure and sustainable energy solutions.
This book is a useful guide for students, researchers, academicians, engineers & industrial practitioners in the field of computer science and electrical engineering. It is also highly relevant to researchers in the broad field of artificial intelligence and its real-world applications.
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Specificații
ISBN-13: 9781041117636
ISBN-10: 1041117639
Pagini: 1210
Dimensiuni: 174 x 246 mm
Ediția:1
Editura: CRC Press
Colecția CRC Press
Seria Taylor and Francis Proceedings in Computer Science and Engineering
ISBN-10: 1041117639
Pagini: 1210
Dimensiuni: 174 x 246 mm
Ediția:1
Editura: CRC Press
Colecția CRC Press
Seria Taylor and Francis Proceedings in Computer Science and Engineering
Public țintă
Academic, Postgraduate, and Professional ReferenceCuprins
Chapter 1: Artificial Intelligence & Machine Learning – Techniques & Applications. A Comparative Exploration of Transformer Models and Traditional Models for Cyberbullying Detection. Comparative Analysis of SVM with Logistic Regression and Decision Tree on Non-linear Data Points. Machine Learning-Based Modelling for Soil Moisture Prediction. Personalized Content Delivery Systems: An AI Based Age Estimation Approach. Sattriya dance single hand mudras recognition using SVM: A machine learning model. Generative AI-Driven Hybrid Optimized Deep Learning Model for Computation Intelligence Predicting HMPV Virus Infections in Healthcare. Advanced Customer Service Chatbot with Intent Classification and Sentiment Analysis. Study and Analysis on Role of AI Model for Self-Healing and Automated Report Generation in AWS Cloud Pipelines. A Modular Machine Learning Framework for Stock Forecasting with Multi-Source Financial Data. MUSANALYTICS - Enhancing Museum Exhibit Evaluation through AI-Driven CCTV Analytics and Visitor Interaction Monitoring. Adaptive AI-Driven Fusion Models for Enhanced Diagnostic Precision in IoT Enabled Healthcare. ML DL and Hybrid Sequence Labeling Models for Bodo Named Entity Recognition. Estimating efficient solar panels applying complex Fermatean picture fuzzy decision making method. Analyzing 2D nanomaterials for semiconductor in fuzzy environment. Evaluating appropriate MEMS actuator in Bipolar Picture Fuzzy Environment. An Adaptive Edge-Cloud Offloading Framework for the Dynamic QoS Optimization of IoT Applications. Robotic Arm for Industrial parts Sorting and Classification using Ai Techniques. Chapter 2: Communication Engineering & System DesignDevelopment and Implementation of a Secure Hybrid Optical Communication System Using Integrated 6-D Chaotic Algorithms and DNA Encoding Techniques. Minuscule elliptical patch antenna with circular slots for wireless biotelemetry at 1.5 GHz. Elevation of both SAR and Temperature of Human Skin Exposed to Cell Phone Radiation in Various Frequency Bands. A Substrate Integrated Waveguide Based Aperture Antenna for Around 60GHz Range Within V-Band Application. Dynamic Frequency Scaling with Adaptive Clock Divider for Power-Efficient FPGA-Based Systems. Dual Band Miniaturized Antenna loaded with Meander line slot and DGS. Design and fabrication of compact CSRR inspired fractal loaded MIMO antenna design for wireless applications. No Spooky Action: Photon and Its Entanglement could be a False Story. Optimized Microstrip Patch Antenna for 2.4 GHz Wi-Fi Communication. Design And Compact of Microstrip Patch Antenna Rt/ Duroid 5880 Using FPGA. FlexiCharge: Adaptive Blockchain Architecture for Smart EV Charging. Ensemble based techniques for Breast cancer prediction across multiple data sets. Chapter 3: Data Science & Information TechnologyEfficient Object Detection Framework Using Dynamic Dual-Processing. Evaluation of Oh Model for Soil Moisture Estimation Using Sentinel -1 SAR. Assessing the Spatiotemporal Dynamics NDVI and LST using Multitemporal Landsat Imagery. Study of Energy Costs for Transportation Work of Electric Locomotives in Mainline Traffic. Enabling a Web-based Platform for Digital Management in the Academe with Student Engagement and Performance Analytics. A UTAUT-Driven Approach to Improving Automated Faculty- Subject Timetabling in Higher Education Institutions. Data Augmentation and Integrant Extraction Model for Pol-SAR for Image Classification. The impact of vibrations in the wheel-motor block of mainline locomotives on the wear intensity of units and components. Empowering Hog Farmers through a Crowdfunding Web Platform Integrated with Descriptive Agricultural Analytics. Macro-Sentiment Fused Stock Forecasting Using Transformer Networks Optimized by Adaptive Weighted Jellyfish Algorithm. Risk Mitigation in Banking Through Creditworthiness Prediction Models. An Analysis on Current Trends in Cross Border Payments Using Blockchain Technology. Cross-Domain Sentiment Analysis using Hybrid Firefly-Bee Optimization and Bi-directional Transformers. Towards evaluation of the transportation work of UzTE16M4 die-sel locomotives on the mountain area Acrobat - Tashguzar of the Karshi regional railway junction. PoS Taggers for Few Extremely Low Resource Languages: A Critical Review of Approaches and Performances. Exploratory Data Analysis with Pandas for Advanced Data Analysis and Visualization. Transformer- Driven Feature Extraction with Ensemble Classification for Mushroom Recognition. To Optimizing the Transportation Operation of "OʼzEl" Electric Locomotives on the Kokand - Pap Section of the Uzbek Railway. Energy-Efficient Control Movement of Freight Train Using the C# Programming Language. Standard LSTM-Seq2Seq: Enhancing Agriculture Q&A with BART and VAE. A data safety method that uses an adjacent matrix that represents the graph to acquire the key for both decryption and encryption. Context-based spelling correction in Assamese language. Automatic Gender Classification Based on Gender Specific Information Using SVM Classifier. Comparison of Sombor Index and Euclidean Reciprocal Index of Some Networks. Personalized Food Recommendation System Using Large Language Model (LLM). Revealing Influential Nodes in Networks: Advancing Insights with Temporal CI-K Shell Decomposition and FSO Metaheuristic Technique. Two-Factor Authentication and Role-Based Access Control for Data Loss Prevention in Multi-User Environments. Chapter 4: Design & Implementation of Integrated Circuit SystemsFPGA-Based Implementation and Performance Evaluation of a Logic Gate Multiplexer for Digital Circuits. FPGA Implementation of Clock-Gated Programmable LFSRs for Low Power Applications: A Comparative Study. Design, Verification, and FPGA Implementation of an Efficient SPI Master Controller in Verilog. Efficient Cache Architecture with Victim Cache for Power-Aware Memory Wall Mitigation. An Efficient Stacking Technique based Counters for Low- power, High-speed VLSI Circuits. FPGA Implementation of a Pipelined FIR Filter Using Karatsuba Multiplication. Design and Integration of a Hybrid Compressor for High-Speed FIR Filter Architectures. Design and Implementation of a Reconfigurable Bipartite Pseudo-Random Number Generator for Low-Power Applications. Hardware Implementation of Modified k-NN Algorithm in FPGA for IoT and Edge Device Applications. Area Efficient Reseeding Technique for Linear Feedback Shift Registers. Performance Analysis of Microchip Cooling Using Nanofluids. Chapter 5: Image Processing TechniquesA DenseNet201 with Inceptionv3-based Joint Learning Model for Audio-Visual Deep Fake Video Detection. A CLAHE -Enhanced Pipeline for Marine Litter Image Augmentation and Classification. Adaptive Demosaicking with Interpolated Masking Network for Robust Color Image Reconstruction. A Novel Approach for Retinal Vascular Image Segmentation using Transformed Total Variation. Automated Satellite-to-Map Translation Using Pix2Pix GAN for Geospatial Analysis. Evaluating the Effectiveness of NDWI, MNDWI, and WRI Indices for Water Body Detection Using Sentinel-2 Satellite Imagery. A Hybrid Preprocessing Framework for Robust Facial Edge Detection with Automated Face Labeling. SIFT and VGG16-Based Feature Fusion for Sickle Cell Disease Classification in Microscopic Images. Enhanced Denoising of 3D MRI Brain Images Using a Non-linear Maxi-Wink Filter Technique. Chapter 6: Deep Learning & Neural NetworksA Comparative Study on Different Deep Learning Based Models on Bihu Song. Deep Learning-Based Detection of Silkworm and Mulberry Leaf Diseases for Enhanced Sericulture Management. ResNetAdProbe: An Application-Based Project for Recognition of Advertisement using Residual Network. Vehicle Stealing Detection in video surveillance using Beluga Whale Adam Dingo Optimizer. Deep Learning Strategies for Combating Spambots in Online Social Networks. Hybrid Deepfake Video Detection Using Efficientnet-V2 and Shallow Vision Transformer with Real-Time Computational Intelligence. Comparative Study of Preprocessing Techniques to Enhanced Underwater Debris Detection. Multimodal Face Emotions Detection Using Facial Expressions and Body Posture Via Reflection Equivariant Quantum Neural Networks Optimized by Prism Refraction Search. Intelligent Luggage Monitoring System Using Deep Learning for Improved Detection Accuracy. Multistage Steganography with Dense Neural Network Based Overflow/Underflow Detection for High Payloads. Impact of Big Data on Weather Forecasting Prediction: Deep Learning Techniques for Environmental Meta-Data Modeling and Quantitative Analysis Using Quantum Neural Networks. Image-Based Jackfruit Disease Detection Using Gray-Level Co-Occurrence Matrices and Deep Convolution Neural Networks. Enhanced Seismic Interpretation Through Deep Learning Based Automated Salt Structure Segmentation. Identification of Dementia Disease Using Deep Learning Techniques. Enhancing Laser-Plasma Acceleration Through Deep Learning: Surrogate Modeling and Optimization. Deep Learning Approaches for Early Detection and Monitoring of Alzheimer's Disease Using MRI and Multimodal Imaging Data. Time-Frequency Enhanced Swin Transformer for Cardiac Arrhythmia Detection. Classification of Cardiac Arrhythmia using Hybrid Wavelet and Short-Time Fourier Transform with CNN. Chapter 7: Power Electronics & DrivesPlanar Coupled Inductor Based High Gain Boost Converter for Industrial Applications. Cockcroft-Walton Voltage Multiplier Integrated High-Gain Transformer less DC-DC Converter with PV Source for EV Range Extension. Investigating the Role of Thermoelectric Coolers in Enhancing Power Electronics Performance.
Chapter 8: Power Systems EngineeringSustainable Urban Technologies for Renewable Power Conversion and Utilization. Optimizing Energy Management and Routing in Electric Vehicles using Improved Weighed Ant Lion Optimization (IWALO). Optimal sizing and placement of BESS in RES integrated distribution network using ETAP simulation. Optimized control of power flow in grid-connected Battery Energy Storage Systems (BESS) for energy balancing applications. MRAC based control of DFIG for optimal performance in Wind Energy Conversion Systems. Advanced Optimization of UPFC Parameters for Transient Stability Enhancement using Whale and Antlion Metaheuristic Algorithms. Chapter 9: Wireless Sensor NetworksSAFETYNET-An IoT Based Wireless Safety System for Monitoring the Physiological and Environmental Variables in Hazardous Applications. Dynamic Trust-Aware Anomaly Detection and Mitigation Framework for Routing-Level Security in Software-Defined Networks. Priority-Integrated Reinforcement Learning for SLA-Driven Network Slicing in 5G Networks. HSF-IDS: A Novel Hybrid Stacking-Fusion Framework for Supervised Intrusion Detection in Wireless Sensor Networks. Optimizing Data Concentrator Unit Location for Enhanced Smart Grid Efficiency. Multi-Channel Performance of WiFi 7 with MATLAB Coding. Outage Performance Analysis of Multiuser CRN with Energy Harvesting Relay & Greedy Scheduling on Quality Based Channel State Feedback.
Chapter 8: Power Systems EngineeringSustainable Urban Technologies for Renewable Power Conversion and Utilization. Optimizing Energy Management and Routing in Electric Vehicles using Improved Weighed Ant Lion Optimization (IWALO). Optimal sizing and placement of BESS in RES integrated distribution network using ETAP simulation. Optimized control of power flow in grid-connected Battery Energy Storage Systems (BESS) for energy balancing applications. MRAC based control of DFIG for optimal performance in Wind Energy Conversion Systems. Advanced Optimization of UPFC Parameters for Transient Stability Enhancement using Whale and Antlion Metaheuristic Algorithms. Chapter 9: Wireless Sensor NetworksSAFETYNET-An IoT Based Wireless Safety System for Monitoring the Physiological and Environmental Variables in Hazardous Applications. Dynamic Trust-Aware Anomaly Detection and Mitigation Framework for Routing-Level Security in Software-Defined Networks. Priority-Integrated Reinforcement Learning for SLA-Driven Network Slicing in 5G Networks. HSF-IDS: A Novel Hybrid Stacking-Fusion Framework for Supervised Intrusion Detection in Wireless Sensor Networks. Optimizing Data Concentrator Unit Location for Enhanced Smart Grid Efficiency. Multi-Channel Performance of WiFi 7 with MATLAB Coding. Outage Performance Analysis of Multiuser CRN with Energy Harvesting Relay & Greedy Scheduling on Quality Based Channel State Feedback.
Notă biografică
Thangaprakash Sengodan is currently a Professor at Sengunthar Engineering College, Tiruchengode, Tamil Nadu, India. He received his Bachelor of Engineering in Electrical Engineering from Bharathiar University, India, and Master of Engineering in Power Electronics and Drives from Anna University, Chennai, in 2002 and 2014, respectively. He received a Ph.D. degree in Electrical Engineering from Anna University, Chennai, India, in 2011. His current research interests include power electronics circuits, renewable power conversion systems, and solid-state control of electric drives. He has authored over thirty papers in peer-reviewed international journals and conferences. Dr. Thangaprakash is a senior member of IEEE, IEEE-Power Electronics Society, IEEE-Communications Society, and a life member of the Indian Society for Technical Education (ISTE). Dr. Thangaprakash is currently Vice-Chair of Electronic Communication and Information Management, IEEE India Council (for the period 2021–2023), and a member of the IEEE India Council EXCOM 2021–2022 (Executive Committee) and IEEE Madras Section EXCOM 2020–2021.Thangaprakash Sengodan is currently a Professor at Sengunthar Engineering College, Tiruchengode, Tamil Nadu, India. He received his Bachelor of Engineering in Electrical Engineering from Bharathiar University, India, and Master of Engineering in Power Electronics and Drives from Anna University, Chennai, in 2002 and 2014, respectively. He received a Ph.D. degree in Electrical Engineering from Anna University, Chennai, India, in 2011. His current research interests include power electronics circuits, renewable power conversion systems, and solid-state control of electric drives. He has authored over thirty papers in peer-reviewed international journals and conferences. Dr. Thangaprakash is a senior member of IEEE, IEEE-Power Electronics Society, IEEE-Communications Society, and a life member of the Indian Society for Technical Education (ISTE). Dr. Thangaprakash is currently Vice-Chair of Electronic Communication and Information Management, IEEE India Council (for the period 2021–2023), and a member of the IEEE India Council EXCOM 2021–2022 (Executive Committee) and IEEE Madras Section EXCOM 2020–2021.
Sanjay Misra is a Professor of Computer Engineering at Ostfold University, Norway. Previously he was employed at Covenant University, Ota, Nigeria. He has been involved in academic administration and research in various universities of Asia, Europe, and Africa for over 30 years. He obtained his Ph.D. in Information and Know. Engineering (Software Engineering) from the University of Alcala, Spain, and M.Tech. (Software Engineering) from Motilal Nehru National Institute of Technology, India. He has authored/co-authored around 300 papers. He is the editor in chief of the book series on Advances in IT Personals and Project Management and co-editor of 31 Lecture Notes in Computer Science and 6 IEEE conference proceedings. He has presided as the general chair at many international conferences. Presently, Dr. Sanjay is editor-in-chief of International Journal of Physical Sciences (SCOPUS Indexed), the founder-editor in chief of Covenant Journal of ICT and the International Journal of Computer Science and Software Technology, and editor, associate editor, and editorial board member of more than 20 journals (including three SCIE) of international repute. His current research covers software quality assurance, software process improvement, software project management, object-oriented technologies, XML, SOA, Web services, cognitive informatics, artificial intelligence, neural network, health Informatics, e-learning, cloud computing, and cyber security.
Murugappan M. has been working at Kuwait College of Science and Technology (KCST), Kuwait as a Full Professor in Electronics, Department of Electronics and Communication Engineering since 2016. He is also serving as a Visiting Professor at the School of Engineering at Vels Institute of Science, Technology, and Advanced Studies in India and an International Visiting Fellow at the Center of Excellence in Unmanned Aerial Systems at Universiti Malaysia Perlis in Malaysia. In 2006, he graduated from Anna University, India with an M.E. degree in Applied Electronics. He received his Ph.D. from Universiti Malaysia Perlis, Malaysia in 2010 for his contribution to the field of Mechatronic Engineering. Between 2010 and 2016, he worked as a Senior Lecturer at the School of Mechatronics Engineering, Universiti Malaysia Perlis, Malaysia. In a recent study published by Stanford University, he was ranked among the top 2 percent scientists working in experimental psychology and artificial intelligence for five consecutive years (2020–2024). To date, his google scholar citations reaches 8470+ with an H-Index of 47. His research into affective computing has received more than 750K in grants from Malaysia, Kuwait, and the UK. His publications include more than 170+ peer-reviewed conference proceedings papers, journal articles, and book chapters. Prof. Murugappan is a member of the editorial boards of PlosOne, Computers and Electrical Engineering, Human Centric Information Sciences, PEERJ Computer Science, Journal of Medical Imaging and Health Informatics, and the International Journal of Cognitive Informatics. In addition to being the Chair for IEEE, he also chairs Kuwait Section’s Educational Activities Committee, Kuwait. He is interested in affective computing, affective neuroscience, neuromarketing, and medical image processing.
Sanjay Misra is a Professor of Computer Engineering at Ostfold University, Norway. Previously he was employed at Covenant University, Ota, Nigeria. He has been involved in academic administration and research in various universities of Asia, Europe, and Africa for over 30 years. He obtained his Ph.D. in Information and Know. Engineering (Software Engineering) from the University of Alcala, Spain, and M.Tech. (Software Engineering) from Motilal Nehru National Institute of Technology, India. He has authored/co-authored around 300 papers. He is the editor in chief of the book series on Advances in IT Personals and Project Management and co-editor of 31 Lecture Notes in Computer Science and 6 IEEE conference proceedings. He has presided as the general chair at many international conferences. Presently, Dr. Sanjay is editor-in-chief of International Journal of Physical Sciences (SCOPUS Indexed), the founder-editor in chief of Covenant Journal of ICT and the International Journal of Computer Science and Software Technology, and editor, associate editor, and editorial board member of more than 20 journals (including three SCIE) of international repute. His current research covers software quality assurance, software process improvement, software project management, object-oriented technologies, XML, SOA, Web services, cognitive informatics, artificial intelligence, neural network, health Informatics, e-learning, cloud computing, and cyber security.
Murugappan M. has been working at Kuwait College of Science and Technology (KCST), Kuwait as a Full Professor in Electronics, Department of Electronics and Communication Engineering since 2016. He is also serving as a Visiting Professor at the School of Engineering at Vels Institute of Science, Technology, and Advanced Studies in India and an International Visiting Fellow at the Center of Excellence in Unmanned Aerial Systems at Universiti Malaysia Perlis in Malaysia. In 2006, he graduated from Anna University, India with an M.E. degree in Applied Electronics. He received his Ph.D. from Universiti Malaysia Perlis, Malaysia in 2010 for his contribution to the field of Mechatronic Engineering. Between 2010 and 2016, he worked as a Senior Lecturer at the School of Mechatronics Engineering, Universiti Malaysia Perlis, Malaysia. In a recent study published by Stanford University, he was ranked among the top 2 percent scientists working in experimental psychology and artificial intelligence for five consecutive years (2020–2024). To date, his google scholar citations reaches 8470+ with an H-Index of 47. His research into affective computing has received more than 750K in grants from Malaysia, Kuwait, and the UK. His publications include more than 170+ peer-reviewed conference proceedings papers, journal articles, and book chapters. Prof. Murugappan is a member of the editorial boards of PlosOne, Computers and Electrical Engineering, Human Centric Information Sciences, PEERJ Computer Science, Journal of Medical Imaging and Health Informatics, and the International Journal of Cognitive Informatics. In addition to being the Chair for IEEE, he also chairs Kuwait Section’s Educational Activities Committee, Kuwait. He is interested in affective computing, affective neuroscience, neuromarketing, and medical image processing.
Descriere
This book presents a valuable discussion on groundbreaking research and advancements in the field of computer, communication, electronics & electrical technology. It provides essential information & know-how on how these technologies apply to real world problems.