Low data regimes in extreme climates: Foliage penetration personnel detection using a wireless network-based device-free sensing approach

[1]  Bamidele Adebisi,et al.  A Wireless Sensor Network Border Monitoring System: Deployment Issues and Routing Protocols , 2017, IEEE Sensors Journal.

[2]  Taghi M. Khoshgoftaar,et al.  A survey on Image Data Augmentation for Deep Learning , 2019, Journal of Big Data.

[3]  Geoffrey E. Hinton,et al.  ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.

[4]  Eryk Dutkiewicz,et al.  Device-Free Sensing for Personnel Detection in a Foliage Environment , 2017, IEEE Geoscience and Remote Sensing Letters.

[5]  Abdelkrim Abdelli,et al.  An Efficient WSN Based Solution for Border Surveillance , 2021, IEEE Transactions on Sustainable Computing.

[6]  Eryk Dutkiewicz,et al.  Internet of Mission-Critical Things: Human and Animal Classification—A Device-Free Sensing Approach , 2018, IEEE Internet of Things Journal.

[7]  Ronald M. Summers,et al.  Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation , 2015, IEEE Transactions on Medical Imaging.

[8]  Ossi Kaltiokallio,et al.  A Three-State Received Signal Strength Model for Device-Free Localization , 2014, IEEE Transactions on Vehicular Technology.

[9]  Qilian Liang,et al.  Fault-tolerant and energy efficient cross-layer design for wireless sensor networks , 2007, Int. J. Sens. Networks.

[10]  Tariq S. Durrani,et al.  An EMD Based Sense-Through-Foliage Target Detection UWB Radar Sensor Networks , 2018, IEEE Access.

[11]  Xiaojun Jing,et al.  Device-Free Wireless Sensing for Human Detection: The Deep Learning Perspective , 2021, IEEE Internet of Things Journal.

[12]  Raghu G. Raj,et al.  A Feature Fusion Approach to Classifying Targets Underneath Foliage via Wideband LFMB SAR Systems , 2020 .

[13]  Yan Huang,et al.  Impact of Seasonal Variations on Foliage Penetration Experiment: A WSN-Based Device-Free Sensing Approach , 2018, IEEE Transactions on Geoscience and Remote Sensing.

[14]  Hayit Greenspan,et al.  GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification , 2018, Neurocomputing.

[15]  Ting Jiang,et al.  A novel particle swarm optimization trained support vector machine for automatic sense-through-foliage target recognition system , 2014, Knowl. Based Syst..

[16]  Yusheng Ji,et al.  RF-Sensing of Activities from Non-Cooperative Subjects in Device-Free Recognition Systems Using Ambient and Local Signals , 2014, IEEE Transactions on Mobile Computing.

[17]  Qilian Liang,et al.  Sense-Through-Foliage Target Detection Based on UWB Radar Sensor Networks , 2019, Mission-Oriented Sensor Networks and Systems.

[18]  P. White,et al.  HIGHER-ORDER SPECTRA: THE BISPECTRUM AND TRISPECTRUM , 1998 .

[19]  Yan Huang,et al.  Multilocation Human Activity Recognition via MIMO-OFDM-Based Wireless Networks: An IoT-Inspired Device-Free Sensing Approach , 2021, IEEE Internet of Things Journal.

[20]  Shuangfeng Han,et al.  Energy-efficient 5G for a greener future , 2020 .

[21]  Yoshua Bengio,et al.  Generative Adversarial Nets , 2014, NIPS.

[22]  Eryk Dutkiewicz,et al.  Cost-Effective Foliage Penetration Human Detection Under Severe Weather Conditions Based on Auto-Encoder/Decoder Neural Network , 2019, IEEE Internet of Things Journal.

[23]  Jiajun Wu,et al.  Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling , 2016, NIPS.

[24]  Natalia Gimelshein,et al.  PyTorch: An Imperative Style, High-Performance Deep Learning Library , 2019, NeurIPS.

[25]  Miao Pan,et al.  Multi-Target Device-Free Wireless Sensing Based on Multiplexing Mechanisms , 2020, IEEE Transactions on Vehicular Technology.

[26]  Lin Zhu,et al.  Generative Adversarial Networks for Hyperspectral Image Classification , 2018, IEEE Transactions on Geoscience and Remote Sensing.

[27]  Trac D. Tran,et al.  Collaborative Multi-Sensor Classification Via Sparsity-Based Representation , 2014, IEEE Transactions on Signal Processing.

[28]  Ting Jiang,et al.  A new sense-through-foliage target recognition method based on hybrid differential evolution and self-adaptive particle swarm optimization-based support vector machine , 2015, Neurocomputing.

[29]  Qilian Liang,et al.  Fuzzy logic-optimized secure media access control (FSMAC) protocol wireless sensor networks , 2005, CIHSPS 2005. Proceedings of the 2005 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety, 2005..

[30]  Jerry M. Mendel,et al.  Tutorial on higher-order statistics (spectra) in signal processing and system theory: theoretical results and some applications , 1991, Proc. IEEE.

[31]  Qilian Liang,et al.  Throughput and Energy-Efficiency-Aware Protocol for Ultrawideband Communication in Wireless Sensor Networks: A Cross-Layer Approach , 2008, IEEE Transactions on Mobile Computing.

[32]  Qiang Wu,et al.  Multi-Pseudo Regularized Label for Generated Data in Person Re-Identification , 2018, IEEE Transactions on Image Processing.

[33]  Nitish Srivastava,et al.  Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..

[34]  Neal Patwari,et al.  Never Use Labels: Signal Strength-Based Bayesian Device-Free Localization in Changing Environments , 2018, IEEE Transactions on Mobile Computing.

[35]  Qilian Liang,et al.  Energy and quality aware query processing in wireless sensor database systems , 2007, Inf. Sci..