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<p>AI-Driven Cognitive Radio Networks for Transforming Industries and Sectors Towards a Smart World.- Beyond the Code: Bridging Ethical and Practical Gaps in Data privacy for AI-Enhanced Healthcare Systems.- Smart Healthcare: Paradigm Shift in Industry 5.0 using AI.- Navigating the Digital Age: Smart Logistics and Manufacturing.- Industrial Automation through AI-powered Intelligent Machines Enabling Real-Time Decision-Making.- Artificial Intelligence and Machine Learning Technologies in Internet of Vehicles.- Connecting the Dots: Unveiling the power of sensors in IoT.- A Complex Intersection and Sustainable Solution of Smart Cities and Smart Homes: Building a Connected Habitat.- Customized CNN-based Condition Monitoring of Road Traffic for Intelligent Transportation Routing.- Remote Monitoring and Control Systems in Agriculture and Farming.- Enhanced Deep Learning Model for Road Transportation Safety with Accident Detection and Traffic Flow Analysis.- Unmanned Aerial Networks-UAV’s and AI.- Internet of Drones.- Advancements in Traffic Sign Detection and Recognition for Adverse Weather and Motion Artifacts in Transportation Systems.- Building Smart Campuses: Integrating AI in Higher Education.</p>

<p><strong>Dr. Rajeev Arya</strong> received the Engineering Degree in Electronics &amp; Communication Engineering from Government Engineering College, Ujjain, (RGPV University, Bhopal) India, and the Master of Technology in Electronics &amp; Communication Engineering from Indian Institute of Technology (ISM), Dhanbad, India. He received the Ph.D. degree in Communication Engineering from Indian Institute of Technology (IIT Roorkee) Roorkee, India. He is currently Assistant Professor at the Department of Electronics &amp; Communication Engineering at National Institute of Technology, Patna, India. His current research interests are Applications of Artificial Intelligence (AI) and Machine Learning in Wireless Sensor Networks, soft computing techniques, 5G/6G Networks, UAV Networks, Signal Processing, Communication Systems and Circuits Design.</p>

<p><strong>Subhash Chander Sharma</strong> is a Professor in the Electronics and Computers discipline at the Indian Institute of Technology (IIT) Roorkee, Saharanpur Campus, India. He has an MSc (electronics), M Tech (electronics &amp; communication engineering), and PhD (electronics &amp; computer engineering) in 1981, 1983, and 1992 respectively from IIT Roorkee (erstwhile University of Roorkee). He began his career as an R&amp;D Engineer in 1983, joining the teaching profession in January 1984 at IIT Roorkee, where he continues till date. He has more than 40 years of teaching and research experience. He has published over three hundred research papers in national and international journals/conferences, and supervised more than 30 projects/dissertations of PG students and 34 PhDs in the area of computer networking, wireless network, computer communication, applications of artificial intelligence (AI) and machine learning, internet of things (IoT), cloud &amp; its security, and mobile computing.&nbsp;</p>

<p><strong>Ajit Kumar Verma </strong>is Professor in the Faculty of Technology, Environmental and Social Sciences, Western Norway University of Applied Sciences, Haugesund, Norway (since March 2012) and was Professor/HAG scale for 15 years with the Department of Electrical Engg./Reliability Engg. at IIT Bombay with a research focus in computational intelligence applications in reliability and safety engineering. He is also Guest Professor at Lulea University of Technology, Sweden. He has several publications to his credit. He is Series Editor of 5 book series, and has authored and edited several books with international publishers including Springer. He has served as the Editor-in-Chief of &nbsp;OPSEARCH (Jan 2008-Jan 2011), and is a Patron and Founding Editor-in-Chief of International Journal of System Assurance Engineering and Management &nbsp;besides being an &nbsp;Editor-in-Chief of Life Cycle Reliability and Safety Engineering, all published by Springer.</p>

<p><strong>Dr. Brijesh Iyer</strong> is Associate Professor in the Department of E&amp;TC Engineering at the Dr. Babasaheb Ambedkar Technological University, Lonere, India. He is a recipient of an INAE research fellowship in the field of Engineering. His research interests include RF Front end design for 5G/6G, IoT, Biomedical Image and Signal Processing, Artificial Intelligence, and Soft Computing. He has patents to his credit, has authored five books on cutting edge technologies such as Sensor Technology, and published over 40 research papers in peer-reviewed journals and conference proceedings. He has served as Program Committee Member of various international conferences. He holds a Ph.D. degree in Electronics and Telecommunication Engineering from Indian Institute of Technology, Roorkee, India.</p>

<p>This book compiles artificial intelligence (AI) applications in new communication technologies such as the cognitive radio networks, internet of things (IoT), internet of drones (IoD), internet of vehicles (IoV), and autonomous underwater vehicles (AUV), which are expected to increase the amount of data traffic. Recognizing that AI is revolutionizing industries with its applications and helping us solve complex problems with ease, the book tackles a variety of industries and sectors such as agriculture, logistics, infrastructure, manufacturing, education, disaster management, transport, surveillance, and more. Contributions included in the book are useful for students, engineers (disciplines like telecommunication, mechanical and computer science, etc.), teachers, people studying and working for strategic, tactical and operational management. It is also useful for data scientists and anyone else who wants to have an insight into the impact of artificial intelligence on various industries. Due to its focus on healthcare and agriculture, the horizon of the book is enhanced to include healthcare industry personnels and agriculture sector. Additionally, it provides guidance for government personnel who are working towards system upgradation for managing dynamic traffic demands.</p>

Contains real-world examples for easy understanding and provides expert sections for specific applications Includes chapters on Internet of Drones (IoD), Internet of Vehicles (IoV), and Autonomous Underwater Vehicles (AUV) Contains AI linkages with industries like healthcare, manufacturing, and traffic management