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Full Description
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, AI, sensing, computer vision, and sensors.
Contents
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 Behaviour 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 1x2 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.
