Edge Intelligence in Cyber-Physical Systems

Discover Edge Intelligence in Cyber-Physical Systems by Wei Yu — a timely, practical guide that brings together edge computing, machine learning, and systems engineering for the connected world. Whether you design industrial automation, smart cities, autonomous vehicles, or healthcare IoT, this book delivers clear frameworks for building resilient, low-latency, and secure cyber-physical systems at the network edge.

Start with crisp explanations of core concepts — from distributed sensing and on-device inference to real-time control and adaptive analytics. Wei Yu translates complex theory into actionable strategies, showing how to reduce latency, conserve bandwidth, and preserve privacy while improving system reliability. Readers will find methodical approaches to architecture design, resource allocation, and edge–cloud collaboration, plus illustrative examples that resonate across industries and geographies.

Imagine deploying smarter traffic control in urban centers, predictive maintenance on factory floors, or real-time monitoring in remote healthcare settings — all powered by edge intelligence. This book helps engineers, architects, and technical leaders move from proof-of-concept to production, unlocking measurable performance gains and cost efficiencies.

Readable, well-structured, and packed with industry-relevant insights, Edge Intelligence in Cyber-Physical Systems by Wei Yu is an essential reference for professionals and graduate students focused on IoT, autonomous systems, and industrial digital transformation. Ready to lead your next edge-first project? Order your copy today and bring real-time intelligence to the devices and systems that matter most.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.