02872nam a22002417a 4500003000400000005001700004008004100021020001900062040000600081082001500087092000600102245020900108250001300317260003200330300004300362520187200405700002802277887002102305942001502326999001502341952012502356952014902481OSt20250917160045.0250915b        |||||||| |||| 00| 0 eng d  a 9781032763682  c0  a004.67 SEK  20  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)  a1st ed.   bAuerbach Publicationsc2025  a1 digital resource (420 pages)c25 cm   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.  aRajasekaran, Arun Sekar  2CamTech Library   2ddccBKn0  c2425d2425  00102ddc4070aCamTechbCamTechcFaEd2025-09-15l0o004.67 SEKp0000002914r2026-07-27 00:00:00tC.1 w2025-09-15yBK  00102ddc4070aCamTechbCamTechcFaEd2025-09-15l1o004.67 SEKp0000002915q2025-09-29r2025-09-15 11:08:00s2025-09-15tC.2 w2025-09-15yBK