This book presents high-quality, peer-reviewed papers from International Conference on Advanced Communications and Machine Intelligence (MICA 2024), hosted by Mahindra University, Hyderabad, Telangana, India, during 1819 October 2024. The book includes all areas of advanced communications and machine intelligence. The book is useful for academicians, scientists, researchers from industry, research scholars, and students working in these areas.

Presents research works in the field of advanced communications and machine intelligence Provides original works presented at MICA 2024 held in Hyderabad, India Serves as a reference for researchers and practitioners in academia and industry

Autorentext

Dr. Ayan Mondal is an Assistant Professor in the Department of Computer Science and Engineering at Indian Institute of Technology (IIT) Indore, India . He has previously worked as a Research Engineer at Univ Rennes, INRIA, CNRS, IRISA, France , and was a Visiting Professor at University of Oulu, Finland . He completed his Ph.D. at IIT Kharagpur and has been actively involved in research on wireless networks, edge computing, and AI-driven network optimization. Dr. Mondal has chaired workshops at leading conferences such as IEEE ICC, IEEE GLOBECOM, IEEE INFOCOM, IEEE HPSR, and ACM/IEEE CCGrid .

Prof. Sheng-Lung Peng is a Professor in the Department of Creative Technologies and Product Design and the Dean of the College of Innovative Design and Management at National Taipei University of Business, Taiwan . He is also an honorary professor at Beijing Information Science and Technology University and a visiting professor at Ningxia Institute of Science and Technology, China . His research focuses on bioinformatics, combinatorics, data mining, and networking . Dr. Peng has edited special issues in Frontiers in Public Health, Journal of Internet Technology, IEEE Internet of Things Magazine, Computers and Electrical Engineering, and Sensors , where he has played a key role in promoting high-quality interdisciplinary research.

Dr. Tauheed Ahmed is an Assistant Professor in the Department of Computer Science and Engineering at École Centrale School of Engineering, Mahindra University, Hyderabad, India . He holds a Ph.D. from IIT Kharagpur and has worked extensively on Image Processing, Biometric Data Indexing, and Steganography . His research contributions include advanced biometric indexing techniques, watermarking schemes, and security-driven AI models . Dr. Ahmed has published several papers in top-tier journals, including IEEE Internet of Things Journal and Expert Systems with Applications . He has also served as a technical reviewer for IEEE and Springer journals, helping to ensure the integrity and impact of research in his field.

Dr. Joy Lal Sarkar is an Assistant Professor in the Department of Computer Science and Engineering at The ICFAI University, Tripura, India . He serves as an editor for the International Journal of Advanced Intelligence Paradigms (Inderscience) and the International Journal of Computational Systems Engineering (Inderscience) . He is also a section editor for Smart Tourism (Asia Pacific Academy of Science) , focusing on AI-driven innovations in travel and hospitality . Additionally, he is a Co-director at IEEE MMTC Communication Frontier. H e contributes to advancements in Artificial Intelligence, Health Informatics, Internet of Things, and Software-Defined Networks (SDN) . With more than 70 research publications in IEEE Transactions, reputed journals, and leading conferences like IEEE GLOBECOM and IEEE INFOCOM , Dr. Sarkar is actively shaping the future of intelligent systems and networked environments.

Inhalt

Chapter 1 :DYNAMIC CURRENT REGULATION IN A BI-DIRECTIONAL INTERLEAVED EV CHARGING SYSTEM WITH DISTURBANCE ATTENUATION.- Chapter 2 :Generic and Simplified mechanism for mutual authentication of nodes in a wireless sensor network.- Chapter 3 :An Insight into Multi-label Learning.- Chapter 4 :An Approximation Edit Distance (AED) Algorithm for Recognition of Partially Occluded Faces.- Chapter 5 :Browser in the Middle Attack: Attack Stimulation and Prevention Method.- Chapter 6 :Conformal Prediction Intervals in Machine Learning for Housing Prices and Birth Weight Predictions.- Chapter 7 :Comparative Study of Automotive ECU with AMBA, Wishbone, and IBM Bus Architectures.- Chapter 8 :MobileNet-Based Deep Learning for Accurate Potato Leaf Disease Detection.- Chapter 9 :Decoding confidence through machine learning on video features.- Chapter 10 :Optimizing TCP Performance and QOS in Mobile Wireless Communications through Prioritized Hard Handoff (PH2) .- Chapter 11 :Online Cheat Detection Using Multimodal Machine Learning Techniques.- Chapter 12 :Alzheimer's Disease Progression for PET Data with Incomplete Clinical Scores using Deep Learning.- Chapter 13 :Improved Anisotropic Scaling Convergence in the Manifold Embedding Quality Assessment Method.- Chapter 14 :Analysing of MTC Data Traffic Over TCP in 5G Wireless Networks.- Chapter 15 :LightGCN-Based Contrastive Cross-Domain Sequential Recommender System.- Chapter 16 :AIoVTA: Vehicular Things for In-Cabin Air Quality Monitoring and Maintenance for the Wellness of the Occupants.- Chapter 17 :Active Learning using Divergence-Based Sampling in Ensemble Framework of Convolutional Neural Networks.- Chapter 18 :Diagnosis of Faults in Synchronous Generator Using Intelligent Technique .- Chapter 19 :Single-Phase Seven-Level Inverter for Enhanced Photovoltaic Energy Integration.- Chapter 20:Systematic Review & Performance Analysis of Classification algorithm for Detecting Fake News with Machine Learning.- Chapter 21:Adoption of Intelligent Decision Support System amongst Small and Medium Enterprises in Mauritius.- Chapter 22 :Adopting 3-2-1 rule for data protection at Universite des Mascareignes.- Chapter 23:EARLY DETECTION OF RED PALM WEEVIL ON COCONUT TREES USING DEEP LEARNING.- Chapter 24:A Computer Vision Approach to Monitor and Prevent Deforestation within the Amazon Rainforest.- Chapter 25 :Optimizing Convolutional Neural Networks with Nature Inspired Algorithms for Diabetic Retinopathy Classification.- Chapter 26 :7 Salp Swarm Algorithm using Lens Opposition 1 based Learning and Local Search Algorithm.- Chapter 27:Cyber Vigilance Nexus: Advancing Intrusion Detection Network Accuracy through Deep Learning Optimization.- Chapter 28:TPE-ASPEC: Secure Thumbnail-Preserving Cryptosystem for Cloud-Based Medical Data Using an Advanced SPE and Chaotic Maps.- Chapter 29 :Novel Hybrid Neural Network Architectures for Stress Detection .- Chapter 30:FogCog: Cognitive Computing Based Fog Architecture for Smart Health Care.- Chapter 31:AI-Driven Stress Detection: Exploring Deep Learning Techniques for Real-Time Analysis".- Chapter 32 :Next-Generation Firewalls and AI-Based Next-Generation Firewalls and AI-Based Detection Systems for DDoS Mitigation.