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This book covers emerging topics, including AIoT-based vehicle safety, intelligent surveillance and tiny object detection, adaptive deep learning optimization, IoT-enabled smart farming, energy-efficient wireless sensor networks, edge computing for smart cities, reinforcement learning for blockchain consensus in IoT networks, AI-driven energy optimization for next-generation IoT devices, and intelligent driving analytics. This book demonstrates how machine learning, deep learning, reinforcement learning, edge intelligence, blockchain, and intelligent optimization can be integrated with mechatronic sensing and communication systems to address complex engineering challenges.
By combining theoretical foundations with practical implementations and application-oriented case studies, this book provides a comprehensive perspective on intelligent mechatronic systems and connected sensing technologies.
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