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A Portable Robot-Assisted Device With Built-In Intelligence for Autonomous Ultrasound Acquisitions in Follow-Up Diagnosis 期刊论文
IEEE Transactions on Instrumentation and Measurement, 2024, 卷号: 73, 页码: 1-10
作者:  Deng ZK(邓兆锟);  Hou XL(侯西龙);  Chen C(陈晨);  Gu XL(谷晓林);  Hou ZG(侯增广);  Wang SY(王双翌)
Adobe PDF(6984Kb)  |  收藏  |  浏览/下载：27/12  |  提交时间：2024/06/25
Robots  Ultrasonic imaging  Probes  Robot sensing systems  Robot kinematics  Force  Safety  Autonomous US acquisition  medical ultrasound (US)  reinforcement learning (RL)  US robotic device  
The survey on multi-source data fusion in cyber-physical-social systems: Foundational infrastructure for industrial metaverses and industries 5.0 期刊论文
Information Fusion, 2024, 卷号: 107, 页码: 1-16
作者:  Xiao Wang;  Yutong Wang;  Jing Yang;  Xiaofeng Jia;  Lijun Li;  Weiping Ding;  Fei-Yue Wang
Adobe PDF(4446Kb)  |  收藏  |  浏览/下载：49/8  |  提交时间：2024/06/06
Multi-source data fusion  CPSS  Industrial metaverses  Parallel manufacturing  Social manufacturing  
Two-particle Debris Flow Simulation Based on SPH 期刊论文
Computer Animation and Virtual Worlds, 2024, 卷号: 35, 期号: 3, 页码: 1-17
作者:  Zhang JX(张佳岫);  Yang M(杨猛);  Xiaomin Li;  Qunou Jiang;  Heng Zhang;  Meng WL(孟维亮)
Adobe PDF(4962Kb)  |  收藏  |  浏览/下载：40/17  |  提交时间：2024/06/04
debris flow  GPU acceleration  natural disaster simulation  SPH  
Autonomous Recovery Control of Biomimetic Robotic Fish Based on Multi-Sensory System 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2024, 卷号: 9, 期号: 2, 页码: 1420-1427
作者:  Qiu, Changlin;  Wu, Zhengxing;  Wang, Jian;  Tan, Min;  Yu, Junzhi
Adobe PDF(4262Kb)  |  收藏  |  浏览/下载：74/16  |  提交时间：2024/03/26
Robots  Wires  Tail  Robot sensing systems  Task analysis  Springs  Sensors  Autonomous recovery  motion control  robotic fish  underwater perception  
Advancements in Humanoid Robots: A Comprehensive Review and Future Prospects 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 301-328
作者:  Yuchuang Tong;  Haotian Liu;  Zhengtao Zhang
Adobe PDF(7587Kb)  |  收藏  |  浏览/下载：173/51  |  提交时间：2024/01/23
Future trends and challenges  humanoid robots  human-robot interaction  key technologies  potential applications  
A learnable EEG channel selection method for MI-BCI using efficient channel attention 期刊论文
FRONTIERS IN NEUROSCIENCE, 2023, 卷号: 17, 页码: 13
作者:  Tong, Lina;  Qian, Yihui;  Peng, Liang;  Wang, Chen;  Hou, Zeng-Guang
Adobe PDF(2021Kb)  |  收藏  |  浏览/下载：116/23  |  提交时间：2023/12/21
brain-computer interface  motor imagery  channel selection  deep learning  attention mechanism  
Latent Structure Mining With Contrastive Modality Fusion for Multimedia Recommendation 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 卷号: 35, 期号: 9, 页码: 9154-9167
作者:  Zhang, Jinghao;  Zhu, Yanqiao;  Liu, Qiang;  Zhang, Mengqi;  Wu, Shu;  Wang, Liang
Adobe PDF(1134Kb)  |  收藏  |  浏览/下载：168/14  |  提交时间：2023/11/17
Multimedia recommendation  graph structure learning  contrastive learning  
Covariance Estimation for Pose Graph Optimization in Visual-Inertial Navigation Systems 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 6, 页码: 3657-3667
作者:  Shi, Pengcheng;  Zhu, Zhikai;  Sun, Shiying;  Rong, Zheng;  Zhao, Xiaoguang;  Tan, Min
Adobe PDF(2522Kb)  |  收藏  |  浏览/下载：137/25  |  提交时间：2023/11/17
covariance estimation  loop closing  pose graph optimization  visual-inertial odometry  
Large sequence models for sequential decision-making: a survey 期刊论文
FRONTIERS OF COMPUTER SCIENCE, 2023, 卷号: 17, 期号: 6, 页码: 18
作者:  Wen, Muning;  Lin, Runji;  Wang, Hanjing;  Yang, Yaodong;  Wen, Ying;  Mai, Luo;  Wang, Jun;  Zhang, Haifeng;  Zhang, Weinan
Adobe PDF(1351Kb)  |  收藏  |  浏览/下载：154/5  |  提交时间：2023/11/17
sequential decision-making  sequence modeling  the Transformer  training system  
The Human Continuity Activity Semisupervised Recognizing Model for Multiview IoT Network 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2023, 卷号: 10, 期号: 11, 页码: 9398-9410
作者:  Yuan, Ruiwen;  Wang, Junping
Adobe PDF(1944Kb)  |  收藏  |  浏览/下载：113/6  |  提交时间：2023/11/17
Feature extraction  Sensors  Human activity recognition  Internet of Things  Data models  Sensor phenomena and characterization  Data mining  Activity feature extraction  deep learning  human activity recognition (HAR)  semisupervised learning