000			02589nam a22002177a 4500
003			OSt
005			20250917160045.0
008			250915b |||||||| |||| 00| 0 eng d
020			_a 9781032763682
040			_c0
082			_a004.67 SEK
092			_20
245			_aAIoT: Artificial Intelligence of Things [electronic resource] _cby Arun Sekar Rajasekaran (Editor), Fadi Al-Turjman (Editor), Suganyadevi S (Editor) _bInnovations in Intelligent Internet of Everything (IoE)
250			_a1st ed.
260			_bAuerbach Publications _c2025
300			_a1 digital resource (420 pages) _c25 cm
520			_aAIoT: 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.
700			_aRajasekaran, Arun Sekar
887			_2CamTech Library
942			_2ddc _cBK _n0
999			_c2425 _d2425