This book gives a complete look at the areas of intelligent computing, advanced communication, and materials, which are all changing quickly. It goes into detail about how these three fields interact with each other, giving readers a deep understanding of their basic ideas, recent developments, and real-world uses. With a focus on closing the gap between theory and practice, this book gives researchers, scientists, engineers, and students the information and tools they need to deal with the complicated problems of our technology-driven world.

The book covers a wide range of areas that are important for clever computers, improved communication, and materials science. It starts by talking about the basic ideas behind intelligent systems, such as machine learning, AI, and data analytics. It then looks at advanced communication technologies like 5G and beyond, wireless sensor networks, the Internet of Things (IoT), and intelligent radio networks. The part on materials science talks about how to make, describe, and use new materials.

These topics are very important in today's world because they have a big effect on many businesses and daily life. Intelligent computer methods make it possible to make smart systems that can make decisions on their own, recognize patterns, and make predictions. The smooth sharing of information is made possible by advanced communication technologies, which allow for faster data movement, better connection, and a better user experience. Materials science is a key part of making new materials with better qualities for uses like computing, energy storage, health care, and even space travel.

The goal of the book is to bring together all the pieces of information in these areas, which are changing quickly.

Researchers, scientists, engineers, and students who work or want to work in the areas of intelligent computing, advanced communication, and materials science will find this book very helpful.

Autorentext

Dr. P. Valarmathie is working as Professor and Head in the Dept. of Computer Science and Engineering at RMK College of Engg. and Tech. She has completed his B.E and M.E from Bharathidasan University and Anna University. Further she has completed his Ph.D. in 2013 at Anna University. She has more than 20 years of teaching at various universities and colleges in India. She has published more than 24 articles in reputed journals like Springer, Science Direct, Taylor & Francis, Wiley, and Hindawi. She has actively participated in more than 10 international conferences and national conferences and organized different national/international conferences, workshops, and seminars. Under her guidance, 3 scholars have completed their Ph.D. at Anna University. Her research areas are artificial intelligence, machine learning, sentiment analysis, blockchain, and IoT.

Pelusi Danilo is Associate Professor of computer science (INF/01) in the Department of Communication Sciences, and he obtained the qualification as Full Professor in ING-INF/05 (information processing systems). His research fields include coding theory and artificial intelligence. He also deals with the implementation of signal processing and pattern recognition algorithms, fuzzy logic, neural networks, and genetic algorithms. He is Honorary Professor of Ramco Institute of Technology, Rajapalayam (Anna University) and Rathinam Technical Campus, Coimbatore (Anna University), Tamil Nadu, India. He is Adjunct Professor in computer science at School of Engineering and Technology of Shobhit University, Gangoh, India. He is Honorary Professor at the Department of Computer Science and Engineering of the University of Galgotias, Greater Noida, Uttar Pradesh, India. He is Visiting and Honorary Professor at School of Computing, Faculty of Engineering, Bharath Institute of Higher Education and Research, Chennai, Tamil Nadu, India.

Xavier Fernando received B.Sc. Eng. (Hons) degree from the University of Peradeniya, Sri Lanka, in 1992. He received masters from the Asian Institute of Technology, Thailand, in 1994. He was granted Ph.D. degree from the University of Calgary, Canada, in 2001.

He worked for AT&T (Telecom Products) as an R&D Engineer during 1994-1997. He has been with the Electrical Engineering Department at Toronto Metropolitan University (formerly Ryerson) since 2001. He is also Member of the University's Board of Governors for 2009-2011. He was Visiting Faculty Researcher at the Institute of Advanced Telecommunications (IAT), University of Swansea, UK, in 2008. He is Author of more than seventy research articles and Patent. He is leading Ryerson Communications Research Lab with excellent funding. He has delivered invited talks worldwide including the Cambridge University (UK), Princeton University (USA), Athens Institute of Technology (Greece), National Research Council (Canada), and Anna University (India).

Inhalt

Leveraging Artificial Intelligence and Image Processing for Enhanced Dermatological Diagnosis.- Neuroimage Lesion Classification: A Comparative Analysis of Classifiers.- Edu Hub: An Education Website for Equal Access to Education in Rural Areas Using Artificial Intelligence.- A Comprehensive Review on EHR Advancements by Integrating Blockchain, Cloud, Machine Learning, and IoT.- STACKING APPROACH FOR ENHANCED FAKE NEWS DETECTION Efficient Task Scheduling In Cloud Environment Using Manta Rays Optimization Algorithm(MROA).- Cyber Shield for IoT: A Graph Based Artificial Intelligence Approach for Anomaly Detection and Threat Mitigation Challenges, Issues, Strategies, and Scientific Research in the Era of Healthcare System Ransomware Attacks.- Predictive Maintenance Using ML and DL Techniques.- Safety Mobile Application for Women Using Artificial IOT SECURITY: A REVIEW OF PROTOCOLS AND FRAMEWORK.- An Intrusion Detection Model Using Parallel CNN LSTM with CATBOOST.- Exploring the Interplay of Nano Silver Particles and Artificial Intelligence in Breast Cancer Diagnosis and Therapy: A Comprehensive Review.- AGRISAGE: Cultivating Tomorrow s Harvest With AI Driven Crop Intelligence Windows Malware Detection Using Random Forest with Filter Feature Selection.- Digital Insurance Advisor: An Insurance Guidance For Productive Future Claims Using Artificial Intelligence.- Machine learning based models for the prediction of diabetes.- Leveraging Transfer Learning and MobileNet for Robust Animal Detection in Challenging Environments.- Malicious Node Detection and Energy Efficient Routing Using Mobile Sink in Wireless Sensor Network.- Classification Of Disaster Images Using Transfer Learning Techniques.- IoT enabled Cradle for Comprehensive Infant Monitoring.- Classification Of Plant Pathology Using EfficientNet.- Pose Estimation for Analysing Cricket Players Using CNN.- Exploring Vgg16, Vgg19 For Autism Detection in Paediatric Images.- Automated Currency Deposit Tracking Using Hybrid Deep Learning Techniques.- Product Design and Development of Activated Carbon Filtered Odour Control & IoT Based Sewage Monitoring Systems.- LIO Det: An Erudite Lightweight Intelligent Optimized Detector for Improving Security of Cloud IoT Systems against Modern Cyber Attacks.- Characterization of epoxy composite reinforced with jujube pits treated with sodium hydroxide.- ENHANCED COVID 19 DETECTION USING CNN AND DARKNET: ADVANCING CT SCAN AND CHEST X RAY ANALYSIS.- ATTACK FORESTALLING (AF) ALGORITHM IN DARK WEB SHOPS AND TRACKING ATTACKERS IN VPN SERVERS.- Key Aggregate Searchable Encryption (KASE) Framework Implementation in Mobile Application.- Machine Learning Based Stock Forecasting and Recommendation System.- Explainable ML Models for Hate Speech Detection Using Shapley Additive Explanations Effectiveness of Impeller Blades in Performance of Centrifugal Water Pumps.