CASIA OpenIR

浏览/检索结果: 共61条,第1-10条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
Molecular Contrastive Pretraining with Collaborative Featurizations 期刊论文
Journal of Chemical Information and Modeling (JCIM), 2024, 卷号: 64, 期号: 4, 页码: 1112–1122
作者:  Yanqiao Zhu;  Dingshuo Chen;  Yuanqi Du;  Yingze Wang;  Qiang Liu;  Shu Wu
Adobe PDF(1868Kb)  |  收藏  |  浏览/下载:27/9  |  提交时间:2024/06/21
A systematic 3-D magnetic particle imaging simulation model for quantitative analysis of reconstruction image quality 期刊论文
Computer Methods and Programs in Biomedicine, 2024, 卷号: 252, 页码: 108250-108250
作者:  Yusong Shen;  Liwen Zhang;  Hui Hui;  Lishuang Guo;  Tan Wang;  Guanyu Yang;  Jie Tian
Adobe PDF(6711Kb)  |  收藏  |  浏览/下载:43/18  |  提交时间:2024/06/11
Magnetic particle imaging  Simulation model  Parallel computing  Simulation software tool  
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:59/18  |  提交时间:2024/06/04
Musculoskeletal robot  Partial observable  Reinforcement learning  LSTM  Attention  Muscle synergy  
Robust Motion Learning for Musculoskeletal Robots Based on a Recurrent Neural Network and Muscle Synergies 期刊论文
IEEE Transactions on Automation Science and Engineering, 2024, 页码: 1-16
作者:  Jiahao Chen;  Wu YX(吴亚雄);  Yao CJ(姚超竞);  Huang X(黄销)
Adobe PDF(4084Kb)  |  收藏  |  浏览/下载:61/15  |  提交时间:2024/06/04
Musculoskeletal system  Robots  Muscles  Reinforcement learning  Robustness  Learning systems  Recurrent neural networks  Musculoskeletal robots  recurrent neural network  muscle synergy  robustness  
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:38/16  |  提交时间:2024/06/04
debris flow  GPU acceleration  natural disaster simulation  SPH  
Enhancing ENSO predictions with self-attention ConvLSTM and temporal embeddings 期刊论文
Frontiers in Marine Science, 2024, 卷号: 11, 页码: 1334210
作者:  Rui, Chuang;  Sun, Zhengya;  Zhang, Wensheng;  Liu, Anan;  Wei, Zhiqiang
Adobe PDF(14474Kb)  |  收藏  |  浏览/下载:42/11  |  提交时间:2024/05/28
El Niño-Southern Oscillation (ENSO)  deep learning for ENSO prediction  self-attention ConvLSTM  temporal embeddings  spring prediction barrier  
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:99/20  |  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:86/18  |  提交时间:2024/03/26
biomimetic motion  biomimetic autonomous system  target following  deep reinforcement learning  predictive control  
Physics-Based Modeling and Fluttering Dynamic Process Simulation for Catkins 期刊论文
FORESTS, 2023, 卷号: 14, 期号: 12, 页码: 28
作者:  Zhang, Jiaxiu;  Yang, Meng;  Xi, Benye;  Duan, Jie;  Huang, Qingqing;  Meng, Weiliang
Adobe PDF(10070Kb)  |  收藏  |  浏览/下载:87/16  |  提交时间:2024/02/22
clustering  catkin modeling  wind field simulation  catkin control  
Multiagent-Reinforcement-Learning-Based Stable Path Tracking Control for a Bionic Robotic Fish With Reaction Wheel 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2023, 卷号: 70, 期号: 12, 页码: 12670-12679
作者:  Qiu, Changlin;  Wu, Zhengxing;  Wang, Jian;  Tan, Min;  Yu, Junzhi
Adobe PDF(1587Kb)  |  收藏  |  浏览/下载:178/19  |  提交时间:2023/11/17
Multiagent reinforcement learning (MARL)  path tracking control  reaction wheel  robotic fish  underwater robot