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Real-world learning control for autonomous exploration of a biomimetic robotic shark 期刊论文
IEEE Transactions on Industrial Electronics, 2022, 卷号: 70, 期号: 4, 页码: 3966-3974
作者:  Yan Shuaizheng;  Wu Zhengxing;  Wang Jian;  Huang Yupei;  Tan Min;  Yu Junzhi
Adobe PDF(5981Kb)  |  收藏  |  浏览/下载：153/56  |  提交时间：2023/05/31
D-TNet: Category-Awareness Based Difference-Threshold Alternative Learning Network for Remote Sensing Image Change Detection 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 1-16
作者:  Wan, Ling;  Tian, Ye;  Kang, Wenchao;  Ma, Lei
Adobe PDF(8963Kb)  |  收藏  |  浏览/下载：97/28  |  提交时间：2023/03/20
Category-awareness  change detection  optical remote sensing image  threshold learning  
Quantitative Assessment of Hand Motor Function for Post-Stroke Rehabilitation Based on HAGCN and Multimodality Fusion 期刊论文
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2022, 卷号: 30, 页码: 2032-2041
作者:  Li, Chenguang;  Yang, Hongjun;  Cheng, Long;  Huang, Fubiao;  Zhao, Shuang;  Li, Dongyue;  Yan, Ruxiu
Adobe PDF(3198Kb)  |  收藏  |  浏览/下载：368/44  |  提交时间：2022/09/19
Hemorrhaging  Thumb  Stroke (medical condition)  Kinematics  Feature extraction  Wrist  Correlation  Hand motor function  quantitative assessment  multi-modality fusion  graph convolutional network  
Development and Control of Underwater Gliding Robots: A Review 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 9, 页码: 1543-1560
作者:  Wang, Jian;  Wu, Zhengxing;  Dong, Huijie;  Tan, Min;  Yu Junzhi
Adobe PDF(183Kb)  |  收藏  |  浏览/下载：319/160  |  提交时间：2022/08/19
Buoyancy driven  motion control  oceanic applications  system development  underwater gliding robots  
Cross-Modality Synergy Network for Referring Expression Comprehension and Segmentation 期刊论文
Neurocomputing, 2022, 卷号: 467, 期号: /, 页码: 99-114
作者:  Li, Qianzhong;  Zhang, Yujia;  Sun, Shiying;  Wu, Jinting;  Zhao, Xiaoguang;  Tan, Min
Adobe PDF(4555Kb)  |  收藏  |  浏览/下载：324/49  |  提交时间：2021/12/28
Referring expression comprehension  Referring expression segmentation  Cross-modality synergy  Attention mechanism