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CGNN: A Compatibility-aware Graph Neural Network for Social Media Bot Detection 期刊论文
IEEE Transactions on Computational Social System, 2024, 页码: Early Access
作者:  Huang, Haitao;  Tian, Hu;  Zheng, Xiaolong;  Zhang, Xingwei;  Zeng, Dajun;  Wang, Feiyue
Adobe PDF(2267Kb)  |  收藏  |  浏览/下载：28/11  |  提交时间：2024/07/08
graph neural network  heterogeneous compatibility  social media bot detection  
JPMDP: Joint base placement and multi-configuration path planning for 3D surface disinfection with a UV-C robotic system 期刊论文
ROBOTICS AND AUTONOMOUS SYSTEMS, 2024, 卷号: 174, 页码: 13
作者:  Zhang, Chenyu;  Qin, Haohao;  Sun, Shiying;  Pan, Yi;  Liu, Kuan;  Li, Tao;  Zhao, Xiaoguang
收藏  |  浏览/下载：8/0  |  提交时间：2024/07/03
Mobile manipulator  Coverage planning  Base position optimization  Disinfection  
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：52/9  |  提交时间：2024/06/06
Multi-source data fusion  CPSS  Industrial metaverses  Parallel manufacturing  Social manufacturing  
A memory and attention-based reinforcement learning for musculoskeletal robots with prior knowledge of muscle synergies 期刊论文
Robotic Intelligence and Automation, 2024, 卷号: 44, 期号: 2, 页码: 316-333
作者:  Xiaona Wang;  Jiahao Chen;  Hong Qiao
Adobe PDF(2591Kb)  |  收藏  |  浏览/下载：64/19  |  提交时间：2024/06/04
Musculoskeletal robot  Partial observable  Reinforcement learning  LSTM  Attention  Muscle synergy  
Model-Based Trajectory Planning of a Hybrid Robot for Powerline Inspection 期刊论文
IEEE Robotics and Automation Letters, 2024, 卷号: 9, 期号: 4, 页码: 3443-3450
作者:  Zhishuo, Li;  Yunong, Tian;  Guodong, Yang;  Yanfeng, Zhang;  En, Li;  Zize, Liang;  Min, Tan
Adobe PDF(2815Kb)  |  收藏  |  浏览/下载：66/28  |  提交时间：2024/05/31
Aerial systems  Applications  constrained motion planning  motion and path planning  
Automatic Robotic Cranium-Milling: A Motion Control Study of In Vitro Animal Experiments 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2024, 页码: 1-14
作者:  Bian GB(边桂彬);  Qian C(钱琛);  Li Z(李桢);  Ye Q(叶强);  Ge PC(葛培聪);  Zhao JZ(赵继宗)
Adobe PDF(2827Kb)  |  收藏  |  浏览/下载：63/17  |  提交时间：2024/05/28
Autonomous craniotomy robot  model-free adaptive nonlinear force control  skull-milling breakthrough detection  in vitro animal experiments  
Hierarchical Distribution-Based Tightly-Coupled LiDAR Inertial Odometry 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2024, 卷号: 9, 期号: 1, 页码: 1423-1435
作者:  Wang, Chengpeng;  Cao, Zhiqiang;  Li, Jianjie;  Yu, Junzhi;  Wang, Shuo
Adobe PDF(3553Kb)  |  收藏  |  浏览/下载：61/15  |  提交时间：2024/05/28
3D LiDAR inertial odometry,  distribution  filtering  optimization  point cloud constraint degeneration  
Graph-guided deep hashing networks for similar patient retrieval 期刊论文
Computers in Biology and Medicine, 2024, 卷号: 169, 页码: 107865
作者:  Gu, Yifan;  Yang, Xuebing;  Sun, Mengxuan;  Wang, Chutong;  Yang, Hongyu;  Yang, Chao;  Wang, Jinwei;  Kong, Guilan;  Lv, Jicheng;  Zhang, Wensheng
Adobe PDF(1325Kb)  |  收藏  |  浏览/下载：51/20  |  提交时间：2024/05/28
Similar patient retrieval  Deep hashing  Graph neural networks  Patient representation learning  Electronic health records  
Integrated Tracking Control of an Underwater Bionic Robot Based on Multimodal Motions 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024, 卷号: 54, 期号: 3, 页码: 1599-1610
作者:  Wang, Jian;  Wu, Zhengxing;  Zhang, Yang;  Kong, Shihan;  Tan, Min;  Yu, Junzhi
Adobe PDF(5090Kb)  |  收藏  |  浏览/下载：104/22  |  提交时间：2024/03/27
Disturbance observer (DOB)  fuzzy system  model predictive control (MPC)  tracking control  underwater bionic robot  
Target-Following Control of a Biomimetic Autonomous System Based on Predictive Reinforcement Learning 期刊论文
BIOMIMETICS, 2024, 卷号: 9, 期号: 1, 页码: 19
作者:  Wang, Yu;  Wang, Jian;  Kang, Song;  Yu, Junzhi
Adobe PDF(1553Kb)  |  收藏  |  浏览/下载：91/21  |  提交时间：2024/03/26
biomimetic motion  biomimetic autonomous system  target following  deep reinforcement learning  predictive control