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Tactile Perception Technologies and Their Applications in Minimally Invasive Surgery: A Review 期刊论文
FRONTIERS IN PHYSIOLOGY, 2020, 卷号: 11, 页码: 15
作者:  Huang, Chao;  Wang, Qizhuo;  Zhao, Mingfu;  Chen, Chunyan;  Pan, Sinuo;  Yuan, Minjie
收藏  |  浏览/下载:36/0  |  提交时间:2021/12/01
tactile sensors  tactile perception  tactile images  minimally invasive surgery  robotic surgery  artificial intelligence  
A Binarized Segmented ResNet Based on Edge Computing for Re-Identification 期刊论文
SENSORS, 2020, 卷号: 20, 期号: 23, 页码: 19
作者:  Chen, Yanming;  Yang, Tianbo;  Li, Chao;  Zhang, Yiwen
收藏  |  浏览/下载:44/0  |  提交时间:2021/12/01
binary neural network  cloud computing  edge computing  person Re-Identification  end devices  
Shortest Uplink Scheduling for NOMA-Based Industrial Wireless Networks 期刊论文
IEEE SYSTEMS JOURNAL, 2020, 卷号: 14, 期号: 4, 页码: 5384-5395
作者:  Xu, Chaonong;  Wu, Mianze;  Xu, Yida;  Xu, Yongjun
收藏  |  浏览/下载:36/0  |  提交时间:2021/12/01
Job shop scheduling  Silicon carbide  Decoding  Uplink  Interference  NOMA  Wireless communication  Nonorthogonal multiple access (NOMA)  successive interference cancellation  uplink  schedule  media access  
A High-Speed Low-Cost VLSI System Capable of On-Chip Online Learning for Dynamic Vision Sensor Data Classification 期刊论文
SENSORS, 2020, 卷号: 20, 期号: 17, 页码: 18
作者:  He, Wei;  Huang, Jinguo;  Wang, Tengxiao;  Lin, Yingcheng;  He, Junxian;  Zhou, Xichuan;  Li, Ping;  Wang, Ying;  Wu, Nanjian;  Shi, Cong
收藏  |  浏览/下载:55/0  |  提交时间:2020/12/10
address-event representation (AER)  Random Ferns  object classification  neuromorphic hardware  online learning  on-chip learning  
ADST: Forecasting Metro Flow Using Attention-Based Deep Spatial-Temporal Networks with Multi-Task Learning 期刊论文
SENSORS, 2020, 卷号: 20, 期号: 16, 页码: 23
作者:  Jia, Hongwei;  Luo, Haiyong;  Wang, Hao;  Zhao, Fang;  Ke, Qixue;  Wu, Mingyao;  Zhao, Yunyun
收藏  |  浏览/下载:51/0  |  提交时间:2020/12/10
forecasting passenger flow  spatiotemporal networks  multi-task learning  attention mechanism  spatiotemporal dependency  
Self-Aware Neural Network Systems: A Survey and New Perspective 期刊论文
PROCEEDINGS OF THE IEEE, 2020, 卷号: 108, 期号: 7, 页码: 1047-1067
作者:  Du, Zidong;  Guo, Qi;  Zhao, Yongwei;  Chen, Yunji;  Xu, Zhiwei;  Zhi, Tian
收藏  |  浏览/下载:49/0  |  提交时间:2020/12/10
Artificial neural networks  Neurons  Self-aware  Monitoring  Sensors  Program processors  Logic gates  Self-aware neural network (NN) processors  
Quick and Accurate False Data Detection in Mobile Crowd Sensing 期刊论文
IEEE-ACM TRANSACTIONS ON NETWORKING, 2020, 卷号: 28, 期号: 3, 页码: 1339-1352
作者:  Li, Xiaocan;  Xie, Kun;  Wang, Xin;  Xie, Gaogang;  Xie, Dongliang;  Li, Zhenyu;  Wen, Jigang;  Diao, Zulong;  Wang, Tian
收藏  |  浏览/下载:53/0  |  提交时间:2020/12/10
Sparse matrices  Sensors  Matrix decomposition  Monitoring  Principal component analysis  Robustness  Wireless sensor networks  Matrix separation  false data detection  mobile crowd sensing  
Dynamic Measurement and Data Calibration for Aerial Mobile IoT 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2020, 卷号: 7, 期号: 6, 页码: 5210-5219
作者:  Gu, Jingjing;  Liu, Cheng;  Zhuang, Yi;  Du, Xiaojiang;  Zhuang, Fuzhen;  Ying, Haochao;  Zhao, Yanchao;  Guizani, Mohsen
收藏  |  浏览/下载:48/0  |  提交时间:2020/12/10
Sensors  Atmospheric measurements  Calibration  Temperature measurement  Pollution measurement  Internet of Things  Correlation  Aerial Internet of Things (Aerial-IoT)  data calibration  dynamic measurement  
Uplink Low-Power Scheduling for Delay-Bounded Industrial Wireless Networks Based on Imperfect Power-Domain NOMA 期刊论文
IEEE SYSTEMS JOURNAL, 2020, 卷号: 14, 期号: 2, 页码: 2443-2454
作者:  Xu, Chaonong;  Wu, Mianze;  Xu, Yongjun;  Fang, Yuguang
收藏  |  浏览/下载:95/0  |  提交时间:2020/12/10
Delay guarantee  low power  power control  successive interference cancellation (SIC)  uplink scheduling  
Adaptive Kalman filtering-based pedestrian navigation algorithm for smartphones 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2020, 卷号: 17, 期号: 3, 页码: 14
作者:  Yu, Chen;  Luo, Haiyong;  Fang, Zhao;  Qu, Wang;  Shao, Wenhua
收藏  |  浏览/下载:47/0  |  提交时间:2020/12/10
Pedestrian navigation  error model system  inertial sensors integration  magnetic field  heading estimation