Visual Sensing and Ubiquitous Computing by Ahad, Md Atiqur Rahman; Nijholt, Anton; Kamal, Md Abdus Samad;

Rövid leírás:

The book will be related to applied machine learning and deep learning in the field of sensing, vision and sensor-based applications.

Hosszú leírás:

Visual Sensing and Ubiquitous Computing explores applied machine learning and deep learning in the field of sensing, vision and sensor-based applications. It includes a series of methodologies, exploration of new applications, presentations on relevant datasets, challenging applications, guidelines, ideas and future scopes.

Edited by leading experts in these arenas, the book will be of great interest to academic researchers, graduate students, and industry professionals in the fields of machine learning, deep learning, artificial intelligence (AI), sensing, computer vision, and sensors.

"This book highlights the cutting-edge research that bridges theoretical advancements with impactful real-world applications. Edited by a highly accomplished team, they have together ensured a well-rounded and visionary exploration of this evolving field. A defining strength of this volume lies in its focus on methodological advancements. Chapters explore cutting-edge techniques, showcasing their practical utility in diverse domains. By applying these advanced methodologies to real-world problems, the book offers readers a clear understanding of both current trends and future opportunities in the field. This volume offers a comprehensive and forward-looking perspective on the integration of computer vision with the complexities of modern interconnected systems. It will undoubtedly inspire researchers and practitioners to push the boundaries of what is possible, transforming these innovations into solutions that shape the future."

--Professor Philip H. S. Torr, University of Oxford, UK

Tartalomjegyzék:

Chapter 1 A Biologically Inspired Model for Perception of Flicker Wheel Illusion. Chapter 2 Facial Expression Editing of Untrained Subject Image Using Landmarks. Chapter 3 Simulator-based Dataset Generator for Pothole Detection in Autonomous Driving. Chapter 4 Chicken Behavior Analysis Using Computer Vision Techniques. Chapter 5 Similarity Fusion: Camera-LiDAR Vision Similarity Fusion for 3D Object Detection. Chapter 6 Residual Learning and Filtering Networks for End-to-End Lossless Video Compression. Chapter 7 Nuclei Instance Segmentation of Cryosectioned H&E Stained Histological Images Using Triple U-Net Architecture. Chapter 8 Enhancing Glaucoma Prediction Performance in OCT Images Using Machine Learning Based on HOG Features. Chapter 9 Low-profile Wideband 1×2 Array Antenna for IEEE 802.11a/h/j/n/ac/ax WLAN Applications. Chapter 10 Spectral Amplitude Coding for Secure Multichannel Communication: An Advanced Investigation on AND Subtraction Based SAC-OCDMA. Chaoter 11 Edge-Fog-Cloud Based Hierarchical Communication Network for Traffic Management System. Chapter 12 Network Dynamics of Bangladesh Inland Waterways Augmented with Complex Network Analysis of Vessels and Connectivity. Chapter 13 Convolutional Neural Network-based Secure Spectrum Sensing in CR-IoT Networks.