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Trip Purposes Mining From Mobile Signaling Data 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 99, 期号: 99, 页码: 13
作者:  Li, Zhishuai;  Xiong, Gang;  Wei, Zebing;  Zhang, Yu;  Zheng, Meng;  Liu, Xiaoli;  Tarkoma, Sasu;  Huang, Min;  Lv, Yisheng;  Wu, Chuheng
Adobe PDF(3962Kb)  |  收藏  |  浏览/下载：485/86  |  提交时间：2022/01/27
Cellular networks  Trajectory  Semantics  Unsupervised learning  Supervised learning  Resource management  Public transportation  Trip purpose inference  cellular network data  latent Dirichlet allocation  travel behavior  big data  
Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:  Hu, Guangzheng;  Zhu, Yuanheng;  Zhao, Dongbin;  Zhao, Mengchen;  Hao, Jianye
Adobe PDF(4187Kb)  |  收藏  |  浏览/下载：271/13  |  提交时间：2022/01/27
Bandwidth  Protocols  Reinforcement learning  Task analysis  Optimization  Communication networks  Multi-agent systems  Event trigger  limited bandwidth  multi-agent communication  multi-agent reinforcement learning (MARL)  
An Electrical Impedance Tomography Based Interface for Human-Robot Collaboration 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2021, 卷号: 26, 期号: 5, 页码: 2373-2384
作者:  Zheng, Enhao;  Li, Yuhua;  Zhao, Zhiyu;  Wang, Qining;  Qiao, Hong
Adobe PDF(2781Kb)  |  收藏  |  浏览/下载：269/11  |  提交时间：2021/12/28
Robot sensing systems  Sensors  Robots  Electrodes  Collaboration  Muscles  Task analysis  Electrical impedance tomography (EIT)  grasp force estimation  human-machine interface  human-robot collaboration  
Associations between MSE and SSIM as cost functions in linear decomposition with application to bit allocation for sparse coding 期刊论文
NEUROCOMPUTING, 2021, 卷号: 422, 页码: 139-149
作者:  Wang, Jianji;  Chen, Pei;  Zheng, Nanning;  Chen, Badong;  Principe, Jose C.;  Wang, Fei-Yue
收藏  |  浏览/下载：231/0  |  提交时间：2021/01/06
Mean Square Error (MSE)  Structural Similarity (SSIM) index  Bit allocation  Sparse coding  Image contrast