GENERALIZATION WITH DEEP LEARNING: FOR IMPROVEMENT ON SENSING CAPABILITY

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• Introduction of Deep Learning Algorithms:An Introduction of Deep Learning Methods for Sensing Applications (Keyu Wu, Wei Cui, Vuong Nhu Khue and Efe Camci); Deep Learning for Activity Sensing:Hierarchically Aggregated Deep Convolutional Neural Networks for Action Recognition (Le Zhang, Jagannadan Varadarajan, Yong Pei and Zhenghua Chen); Combining Domain Knowledge and Deep Learning to Improve HAR Models (Massinissa Hamidi and Aomar Osmani); Deep Learning and Unsupervised Domain Adaptation for WiFi-based Sensing (Jianfei Yang, Han Zou, Lihua Xie and Costas J Spanos); 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 and Lei Wang); Graph Convolutional Neural Network for Skeleton-based Video Abnormal Behavior Detection (Weixin Luo, Wen Liu and Shenghua Gao); Deep Learning for Remote Sensing:Perspective on Deep Learning for Earth Sciences (Gustau Camps-Valls); Accurate Detection of Built-Up Areas in Remote Sensing Image via Deep Learning (Yihua Tan, Shengzhou Xiong and Pei Yan); Recent Advances of Manifold-based Graph Convolutional Networks for Remote Sensing Images Recognition (Sichao Fu and Weifeng Liu); Deep Learning for Medical Sensing:Deep Retinal Image Non-uniform Illumination Removal (Chongyi Li, Huazhu Fu, Miao Yang, Runmin Cong and Chunle Guo); A Comparative Analysis of Efficient CNN-based Brain Tumor Classification Models (Tanveer Hussain, Amin Ullah, Umair Haroon, Khan Muhammad and Sung Wook Baik); 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 and Xiaoli Li);