دانلود کتاب سنجش بصری و محاسبات فراگیر

We are pleased to present the book Visual Sensing and Ubiquitous Computing, which explores the dynamic intersection of advanced visual perception technologies and their seamless integration into our everyday environments. This book brings together a collection of cutting-edge research that demonstrates how visual data and interconnected sensing systems, processed through sophisticated computational models, are driving innovation across a wide spectrum of fields, from healthcare and autonomous systems to communication and urban infrastructure. The book comprises 13 chapters, each of which focuses on the potent synergy between sensing and intelligence. It highlights a diverse array of methodologies, including a biologically inspired deep learning model for visual illusion perception in Chapter 1, a first-order motion model-based approach for facial expression editing in Chapter 2, simulator-based pothole dataset generator in Chapter 3, Mask Region-based Convolutional Neural Network (Mask R-CNN) based approach for chicken behaviour analysis in Chapter 4, and novel fusion techniques for camera Light Detection and Ranging (LiDAR) data in 3D object detection in Chapter 5. The contributions also span advanced architectures like the Triple U-Net for precise medical image segmentation in Chapter 7 and efficient machine learning models for glaucoma prediction in Chapter 8. Beyond core vision algorithms, the book delves into the enabling infrastructure of ubiquitous computing, covering topics such as an end-to-end approach for lossless video compression (Chapter 6), low-profile antenna design for Wireless Local Area Network (WLAN) (Chapter 9), secure communication protocols (Chapter 10), hierarchical edge–fog–cloud networks for intelligent traffic management (Chapter 11), complex network analysis of waterway systems (Chapter 12), and spectrum sensing for cognitive radio networks (Chapter 13). These topics broaden the scope of this book by integrating visual computing with communication systems and next-generation networking paradigms. Together, these chapters illustrate how visual sensing serves as a unifying foundation across domains that increasingly rely on intelligent, distributed, and data-driven systems. Each chapter has undergone rigorous peer review – at least two reviews per contribution – ensuring high-quality research and insightful contributions from leading experts worldwide. We extend our sincere gratitude to all authors and reviewers for their dedication. We also acknowledge the support of Afroza Rahman (University of East London) and the publisher, CRC Press. This book aims to serve as a valuable resource for researchers, students, and practitioners in computer science, electrical engineering, and related disciplines, offering a comprehensive overview of the state of the art in visual sensing and its pivotal role in building an increasingly intelligent, interconnected, and human-centred technological ecosystem. As these fields continue to evolve, we anticipate that the ideas presented here will inspire new research directions, stimulate interdisciplinary collaborations, and contribute to the design of intelligent systems that enhance societal wellbeing.