Intelligent Embedded Systems 1 Applications in Automation, Autonomous Navigation, AI, IoT and Industrial Systems

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Intelligent Embedded Systems 1

Applications in Automation, Autonomous Navigation, AI, IoT and Industrial Systems

Abhishek Kumar | Priya Batta | Srivel Ravi | R. Mohan

Computers / Embedded Computer Systems

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

Intelligent Embedded Systems 1 provides a comprehensive introduction to the principles, architectures and real-world applications of intelligent embedded systems across diverse domains. This book explores the integration of artificial intelligence (AI), the Internet of Things (IoT), autonomous navigation, robotics, industrial automation, healthcare and smart manufacturing, highlighting how embedded intelligence enables efficient, reliable and adaptive systems. Through theoretical foundations, practical implementations and application-driven case studies, the book bridges the gap between academic concepts and industrial practice.

Designed for undergraduate and postgraduate students, researchers, engineers and professionals, this book offers valuable insights into emerging technologies, while establishing the foundational knowledge required to develop next-generation intelligent embedded solutions.
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.

Publication Date: 22 September 2026
Publisher: Wiley
Imprint: Wiley-ISTE
ISBN-13: 9781836690894
Format: Hardback
Page Count: 336

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