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Intelligent Embedded Systems 2 (Kumar, Abhishek (Hrsg.) / Batta, Priya (Hrsg.) / Ravi, Srivel (Hrsg.) / Mohan, R. (Hrsg.))
Intelligent Embedded Systems 2
Untertitel Advanced Architectures, IoT Integration and Autonomous Decision-Making
Autor Kumar, Abhishek (Hrsg.) / Batta, Priya (Hrsg.) / Ravi, Srivel (Hrsg.) / Mohan, R. (Hrsg.)
Verlag Wiley-ISTE
Sprache Englisch
Mediaform PDF
Erscheinungsjahr 2026
Seiten 326 S.
Artikelnummer 53254265
ISBN 978-1-394-47424-0
Auflage 26001 A. 1. Auflage
Plattform PDF
Reihe ISTE Invoiced
Kopierschutz DRM Adobe
CHF 130.00
Zusammenfassung

The rapid evolution of embedded technologies has transformed modern automation, intelligent devices and connected infrastructures.

Intelligent Embedded Systems 2 explores advanced architectures, intelligent algorithms and emerging technologies that are shaping the future of embedded computing.

This book examines AI-enabled embedded platforms, edge and fog computing, cyber-physical systems, autonomous decision-making, real time embedded intelligence, secure IoT integration, digital twins and next-generation industrial applications. Emphasis is placed on scalable system design, intelligent control, cybersecurity, energy-efficient computing and autonomous operations within Industry 4.0 and smart environments.

Featuring contemporary research trends, practical methodologies and application-oriented case studies, this book serves as a valuable resource for researchers, graduate students, industry practitioners and technology developers seeking to design, deploy and optimize intelligent embedded systems for complex real-world challenges.

Abhishek Kumar is a senior IEEE member and Professor at Chandigarh University, Mohali, India. His expertise spans AI, renewable energy and image processing.

Priya Batta is an Associate Professor at Amity School of Engineering and Technology, Amity University Punjab, Mohali, India. Her research specializes in AI, blockchain and the IoT.

S. Ravi is a Professor at Pondicherry University, India. His research focuses on multi-biometrics, medical imaging, computer vision and digital image processing.

R. Mohan is an Associate Professor at NIT Tiruchirappalli, India. His research specializes in computer vision, cybersecurity, distributed systems, high performance computing, machine learning, and software engineering.