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A Survey on Reinforcement Learning Methods in Bionic Underwater Robots 期刊论文
BIOMIMETICS, 2023, 卷号: 8, 期号: 2, 页码: 29
作者:  Tong, Ru;  Feng, Yukai;  Wang, Jian;  Wu, Zhengxing;  Tan, Min;  Yu, Junzhi
Adobe PDF(1260Kb)  |  收藏  |  浏览/下载：114/9  |  提交时间：2023/11/17
bionic underwater robot  reinforcement learning  robotic fish  intelligent control  
PyMAF-X: Towards Well-Aligned Full-Body Model Regression From Monocular Images 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 10, 页码: 12287-12303
作者:  Zhang, Hongwen;  Tian, Yating;  Zhang, Yuxiang;  Li, Mengcheng;  An, Liang;  Sun, Zhenan;  Liu, Yebin
收藏  |  浏览/下载：90/0  |  提交时间：2023/11/16
Expressive human mesh recovery  full-body motion capture  mesh alignment feedback  monocular 3D reconstruction  
Can Digital Intelligence and Cyber-Physical-Social Systems Achieve Global Food Security and Sustainability? 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2070-2080
作者:  Yanfen Wang;  Mengzhen Kang;  Yali Liu;  Juanjuan Li;  Kai Xue;  Xiujuan Wang;  Jianqing Du;  Yonglin Tian;  Qinghua Ni;  Fei-Yue Wang
Adobe PDF(9632Kb)  |  收藏  |  浏览/下载：266/153  |  提交时间：2023/09/22
Carbon-water balance  decision-support  digital intelligence (DI)  foundation models  planning  
AHDet: A dynamic coarse-to-fine gaze strategy for active object detection 期刊论文
NEUROCOMPUTING, 2022, 卷号: 491, 页码: 522-532
作者:  Xu, Nuo;  Huo, Chunlei;  Zhang, Xin;  Pan, Chunhong
Adobe PDF(2664Kb)  |  收藏  |  浏览/下载：323/62  |  提交时间：2022/09/19
Object detection  Active object detection  Deep reinforcement learning  Convolutional neural networks  
Driving EEG based multilayer dynamic brain network analysis for steering process 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2022, 卷号: 207, 页码: 17
作者:  Chang, Wenwen;  Meng, Weiliang;  Yan, Guanghui;  Zhang, Bingtao;  Luo, Hao;  Gao, Rui;  Yang, Zhifei
Adobe PDF(13070Kb)  |  收藏  |  浏览/下载：361/83  |  提交时间：2022/09/19
Multi -layer Networks  Functional Connectivity  Electroencephalogram (EEG)  Driving Intention  Feature Extraction  Driving Behavior  
Investigate the Neuro Mechanisms of Stereoscopic Visual Fatigue 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2022, 卷号: 26, 期号: 7, 页码: 2963-2973
作者:  Yue, Kang;  Guo, Mei;  Liu, Yue;  Hu, Haochen;  Lu, Kai;  Chen, Shanshan;  Wang, Danli
收藏  |  浏览/下载：238/0  |  提交时间：2022/07/25
Visualization  Electroencephalography  Fatigue  Stereo image processing  Shape  Task analysis  Electrodes  Depth perception  depth-related visual evoked potential  self-awareness  stereoscopic visual fatigue  virtual reality  
Attention Enhanced Reinforcement Learning for Multi agent Cooperation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:  Pu, Zhiqiang;  Wang, Huimu;  Liu, Zhen;  Yi, Jianqiang;  Wu, Shiguang
Adobe PDF(2967Kb)  |  收藏  |  浏览/下载：336/49  |  提交时间：2022/06/06
Training  Reinforcement learning  Games  Scalability  Task analysis  Standards  Optimization  Attention mechanism  deep reinforcement learning (DRL)  graph convolutional networks  multi agent systems  
Design and Locomotion Control of a Dactylopteridae-Inspired Biomimetic Underwater Vehicle With Hybrid Propulsion 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2021, 页码: 13
作者:  Zhang, Tiandong;  Wang, Rui;  Wang, Yu;  Cheng, Long;  Wang, Shuo;  Tan, Min
Adobe PDF(4770Kb)  |  收藏  |  浏览/下载：276/49  |  提交时间：2022/01/27
Propulsion  DC motors  Robots  Control systems  Servomotors  Underwater vehicles  Sports  Biomimetic underwater vehicle (BUV)  body andor caudal fin (BCF)  median and or paired fin (MPF) hybrid propulsion  central pattern generators (CPGs)  fuzzy proportion integral differential (PID)  
The Assessment of Upper-Limb Spasticity Based on a Multi-Layer Process Using a Portable Measurement System 期刊论文
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2021, 卷号: 29, 页码: 2242-2251
作者:  Wang, Chen;  Peng, Liang;  Hou, Zeng-Guang;  Zhang, Pu
Adobe PDF(1907Kb)  |  收藏  |  浏览/下载：150/6  |  提交时间：2021/12/28
Spasticity quantification  portable assessment device  modified genetic algorithm  ensemble empirical mode decomposition (EEMD)  multi-layer fusion  
Predicting brain age during typical and atypical development based on structural and functional neuroimaging 期刊论文
HUMAN BRAIN MAPPING, 2021, 页码: 13
作者:  Wang, Qi;  Hu, Ke;  Wang, Meng;  Zhao, Yuxin;  Liu, Yong;  Fan, Lingzhong;  Liu, Bing
Adobe PDF(1813Kb)  |  收藏  |  浏览/下载：402/6  |  提交时间：2021/11/04
autism spectrum disorder  autism spectrum disorder  brain age prediction  brain age prediction  developmental heterogeneity  developmental heterogeneity  multimodal magnetic resonance imaging  multimodal magnetic resonance imaging  predictor weights analysis  predictor weights analysis