Paperback. AIoT: Artificial Intelligence of Things explores the integration of Artificial Intelligence (AI) into everyday objects and devices to allow them to analyze data, make decisions, and communicate with each other, which leads to improved efficiency, convenience, and new possibilities in various aspects of daily life.With a wide-ranging scope, the book covers various aspects of Artificial Intelligence of Things (AIoT) from fundamental concepts to advanced applications. It begins with an introduction to AI, Internet of Things (IoT), and their synergistic relationship and explains how AI technologies enhance the capabilities of IoT devices. The book then explores the key components of AIoT, including sensors, connectivity, data processing, and machine learning algorithms. Highlights include the following:Edge computing and AIoTPrivacy and security in AIoTAIoT applications in such domains as healthcare, finance, and manufacturing.Smart cities and AIoTAIoT and wearablesEthical considerations concerning AIoTAIoT and augmented reality and virtual realityAIoT and blockchainAIoT and 5G technology.The book presents AIoT architectures, such as cloud-based, edge-based, and hybrid systems, and discusses their advantages and challenges. Exploring the role of big data analytics in AIoT, it highlights how large-scale data collection and analysis can drive intelligent decision-making and predictive insights. It delves into such AI techniques employed in AIoT systems as natural language processing, computer vision, deep learning, and reinforcement learning.The book concludes with a discussion of emerging trends and future directions in AIoT, which includes the integration of blockchain technology, edge computing, and swarm intelligence. It also discusses the societal implications of AIoT and its effect on the job market, privacy, and ethics. The book provides a comprehensive exploration of the intersection between AI and the Internet of Things (IoT). It begins with an introduction to AI, IoT, and their synergistic relationship, and explains how AI technologies enhance IoT devices. The book explores such key components as sensors, connectivity, and machine learning algorithms. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Titolo: AIoT (Paperback)
Editore: Taylor & Francis Ltd, London
Data di pubblicazione: 2025
Lingua: Inglese
ISBN 10: 1032773014
ISBN 13: 9781032773018
Rilegatura: Paperback
Condizione: new

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Riassunto

AIoT: Artificial Intelligence of Things explores the integration of Artificial Intelligence (AI) into everyday objects and devices to allow them to analyze data, make decisions, and communicate with each other, which leads to improved efficiency, convenience, and new possibilities in various aspects of daily life.

With a wide-ranging scope, the book covers various aspects of Artificial Intelligence of Things (AIoT) from fundamental concepts to advanced applications. It begins with an introduction to AI, Internet of Things (IoT), and their synergistic relationship and explains how AI technologies enhance the capabilities of IoT devices. The book then explores the key components of AIoT, including sensors, connectivity, data processing, and machine learning algorithms. Highlights include the following:

Edge computing and AIoT
Privacy and security in AIoT
AIoT applications in such domains as healthcare, finance, and manufacturing.
Smart cities and AIoT
AIoT and wearables
Ethical considerations concerning AIoT
AIoT and augmented reality and virtual reality
AIoT and blockchain
AIoT and 5G technology.

The book presents AIoT architectures, such as cloud-based, edge-based, and hybrid systems, and discusses their advantages and challenges. Exploring the role of big data analytics in AIoT, it highlights how large-scale data collection and analysis can drive intelligent decision-making and predictive insights. It delves into such AI techniques employed in AIoT systems as natural language processing, computer vision, deep learning, and reinforcement learning.

The book concludes with a discussion of emerging trends and future directions in AIoT, which includes the integration of blockchain technology, edge computing, and swarm intelligence. It also discusses the societal implications of AIoT and its effect on the job market, privacy, and ethics.

Informazioni sull'autore

Dr. Arun Sekar Rajasekaran received his Ph.D., from Anna University, Chennai, India, in 2019. He is currently working as an associate professor and associate head in the Department of Electronics and Communication Engineering at SR University, Warangal, Telangana, India. Currently he is guiding four Ph.D., scholars at SR University. He has nearly 15 years of teaching experience and has Anna University Guideship. He had published more than 30 SCIE journals namely, IEEE Transactions on Industrial Informatics, IEEE Transactions on Industrial Transportation Systems, IEEE Internet of Things, Microprocessor and Microsystems, Computers and Electrical Engineering, IET Communications, Information and Security, IEEE Access and Concurrency and Computation (Wiley), and many more publications from Elsevier and Springer. He had also published 30+ papers in IEEE scopus indexed international conferences and five patents. His areas of interest are Low power VLSI design, network security, blockchain, body area networks, fog computing, and image processing. He is an editorial board member of Scientific Reports, Nature publisher (SCIE-Q1). He is a member of IEEE, ISTE, IETE (Fellow), ISRD and IEANG. Email: rarunsekar007@gmail.com, arun.sekar.r@ieee.org.

Prof. Dr. Fadi Al-Turjman received his Ph.D. in computer science from Queen’s University, Canada, in 2011. He is the “advisor to the chairman of the board of trustees on AI and informatics” at Near East University (NEU), Turkey, and the founding dean for AI and Informatics faculty in the same university. Prof. Al-Turjman is the head of Software Engineering Department, and the founding director for the AI and Robotics Institute and the International Research Center for AI and IoT at NEU. He has been awarded the lifetime golden-award of Dr. Suat Gunsel from Near East University for the year 2022, in addition to several other recognitions and best research awards at key international venues. Prof. Al-Turjman is a leading authority in the areas of smart/intelligent IoT systems, wireless, and mobile networks’ architectures, protocols, deployments, and performance evaluation in Artificial Intelligence of Things (AIoT). His publication history spans over 650 SCI/E publications, in addition to numerous keynotes and plenary talks at flagship venues. He has authored and edited more than 100 books about AI, cognition, security, and wireless sensor networks’ deployments in smart IoT environments, which have been published by well-reputed publishers such as IEEE, Taylor & Francis Group, Elsevier, IET, and Springer. Prof. Al-Turjman is leading a number of international conferences and workshops in flagship AI and IoT societies. Currently, he serves as a book series editor with distinguished publishers, and the lead guest/associate editor for several top tier journals, including the IEEE Communications Surveys and Tutorials (IF 23.9) and the Elsevier Sustainable Cities and Society (IF 10.8).

Suganyadevi S is an assistant professor in the department of ECE at KPR Institute of Engineering and Technology, Tamilnadu, India. She received the B.E. degree in Electronics and Communication Engineering from Anna University, Chennai, India in 2012 and the M.E. degree in VLSI Design from Anna University, Chennai in 2014. Currently she is pursuing her Ph.D. from Anna University, Chennai, India. She was a university rank holder in her undergraduate studies and a gold medallist in her post-graduate studies. She has published around 20 papers in international journals and conferences. She has contributed 10+ Patents, 10+ chapters to the books and 3 books. She is serving as a reviewer for reputed journals like IEEE Transactions on Image Processing, Computers in Biology and Medicine (SCIE), Informatics in Medicine Unlocked (SCIE), The Imaging Science Journal (SCIE), The Journal of Super Computing (SCIE), International Journal of Computing and Digital Systems (SCIE), Concurrency and Computation: Practice and Experience (SCIE), Bulletin of Electrical Engineering and Informatics, Applied Artificial Intelligence, Research in Comparative and International Education, Qeios, Journal of Experimental and Theoretical Artificial Intelligence, Computer Methods in Biomechanics and Biomedical Engineering, Scientific Reports, Health Informatics Journal, ACM Computing Surveys and Cognitive Computation. She has obtained a total funding of Rs.7.44 lakhs from DHR-ICMR and Rs.40k from DRDO. She is the Life Member of ISTE. Her area of interest includes machine learning, deep learning, and image processing. Email: suganya3223@gmail.com, suganyadevi.s@kpriet.ac.in.

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