Generalization With Deep Learning: For Improvement On Sensing Capability

by Zhenghua Chen, Min Wu, Xiaoli Li

Overview

Deep Learning has achieved great success in many challenging research areas, such as image recognition and natural language processing. The key merit of deep learning is to automatically learn good feature representation from massive data conceptually. In this book, we will show that the deep learning technology can be a very good candidate for improving sensing capabilities.In this edited volume, we aim to narrow the gap between humans and machines by showcasing various deep learning applications in the area of sensing. The book will cover the fundamentals of deep learning techniques and their applications in real-world problems including activity sensing, remote sensing and medical sensing. It will demonstrate how different deep learning techniques help to improve the sensing capabilities and enable scientists and practitioners to make insightful observations and generate invaluable discoveries from different types of data.

Product Details

ISBN-13:	9789811218835
Publisher:	World Scientific Publishing Company, Incorporated
Publication date:	04/26/2021
Pages:	324
Product dimensions:	6.69(w) x 9.61(h) x 0.75(d)

Table of Contents

About the Editors v

Preface vii

Part I Introduction of Deep Learning Algorithms 1

Chapter 1 An Introduction of Deep Learning Methods for Sensing Applications Keyu Wu Wei Cui Vuong Nhu Khue Efe Camci 3

Part II Deep Learning for Activity Sensing 29

Chapter 2 Hierarchically Aggregated Deep Convolutional Neural Networks for Action Recognition Le Zhang Jagannadan Varadarajan Yong Pei Zhenghua Chen 31

Chapter 3 Combining Domain Knowledge and Deep Learning to Improve HAR Models Massinissa Hamidi Aomar Osmani 55

Chapter 4 Deep Learning and Unsupervised Domain Adaptation for WiFi-based Sensing Jianfei Yang Han Zou Lihua Xie Costas J. Spanos 79

Chapter 5 Deep Learning for Device-free Human Activity Recognition Using WiFi Signals Linlin Guo Hang Zhang Weiyu Guo Jian Fang Bingxian Lu Chenfei Ma Guanglin Li Chuang Lin Lei Wang 101

Chapter 6 Graph Convolutional Neural Network for Skeleton-based Video Abnormal Behavior Detection Weixin Luo Wen Liu Shenghua Gao 139

Part III Deep Learning for Remote Sensing 157

Chapter 7 Perspective on Deep Learning for Earth Sciences Gustau Camps-Valls 159

Chapter 8 Accurate Detection of Built-Up Areas in Remote Sensing Image via Deep Learning Yihua Tan Shengzhou Xiong Pei Yan 175

Chapter 9 Recent Advances of Manifold-based Graph Convolutional Networks for Remote Sensing Images Recognition Sichao Fu Weifeng Liu 209

Part IV Deep Learning for Medical Sensing 233

Chapter 10 Deep Retinal Image Non-Uniform Illumination Removal Chongyi Li Huazhu Fu Miao Yang Runmin Cong Chunle Guo 235

Chapter 11 A Comparative Analysis of Efficient CNN-based Brain Tumor Classification Models Tanveer Hussain Amin Ullah Umair Haroon Khan Muhammad Sung Wook Baik 259

Chapter 12 Classification of Travel Patterns Including Wandering Based on Bi-directional Long Short-Term Memory Networks Nhu Khue Vuong Yong Liu Syin Chan Chiew Tong Lau Zhenghua Chen Min Wu Xiaoli Li 279

Index 303