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| SASOD: Saliency-Aware Ship Object Detection in High-Resolution Optical Images 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 卷号: 62, 页码: 15
作者: Ren, Zhida ; Tang, Yongqiang; Yang, Yang; Zhang, Wensheng
 Adobe PDF(5807Kb) |  收藏 | 浏览/下载：21/2 | 提交时间：2024/07/03
ship detection Saliency detection high-resolution optical images remote sensing Deep learning Feature extraction Marine vehicles Object detection Remote sensing Optical sensors Optical imaging saliency detection |
| Autonomy Evaluation of Unmanned Systems Based on Task Models 期刊论文
Machine Intelligence Research, 2024, 页码: 1-16
作者: Yi Zou; Zehao Ni; Xun Lei; Chi Zhang
Adobe PDF(1801Kb) | 收藏 | 浏览/下载：40/12 | 提交时间：2024/06/27 |
| Controller Design for a Soft Continuum Robot With Concurrent Continuous Rotation 期刊论文
IEEE/ASME Transactions on Mechatronics, 2024, 页码: 1-10
作者: Qiangxiang, Zhao; Shuai, Wang; Jian, Hu; Hongbin, Liu; Henry, Chu
Adobe PDF(6461Kb) | 收藏 | 浏览/下载：35/14 | 提交时间：2024/06/11
Robots Bending Shape Shafts Pneumatic systems Electron tubes Task analysis Concurrent self-rotation and positioning constrained optimization continuum robot Jacobian-based correction model predictive control (MPC) |
| Parameter Identification and Refinement for Parallel PCB Inspection in Cyber-Physical-Social Systems 期刊论文
IEEE Transactions on Computational Social Systems, 2023, 页码: 1-10
作者: Yansong Cao; Yutong Wang; Jiangong Wang; Yonglin Tian; Xiao Wang; Fei-Yue Wang
Adobe PDF(2150Kb) | 收藏 | 浏览/下载：45/16 | 提交时间：2024/06/06
Imaging Inspection Image segmentation Image quality Hardware Training Software Automated optical inspection (AOI) parallel printed circuit board (PCB) inspection parameter identification parameter refinement |
| Spiking Neural Network for Ultralow-Latency and High-Accurate Object Detection 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2024, 页码: 10.1109/TNNLS.2024.3372613
作者: Jinye Qu; Zeyu Gao; Tielin Zhang; Yanfeng Lu; Huajin Tang; Hong Qiao
Adobe PDF(2939Kb) | 收藏 | 浏览/下载：43/18 | 提交时间：2024/06/06
Low latency object detection spiking neural network (SNN) timesteps compression |
| FM3Q: Factorized Multi-Agent MiniMax Q-Learning for Two-Team Zero-Sum Markov Game 期刊论文
IEEE Transactions on Emerging Topics in Computational Intelligence, 2024, 页码: 1-13
作者: Guangzheng Hu; Yuanheng Zhu; Haoran Li; Dongbin Zhao
Adobe PDF(2144Kb) | 收藏 | 浏览/下载：44/8 | 提交时间：2024/06/05
Games Q-learning Task analysis Optimization Convergence Training Nash equilibrium Multi-agent reinforcement learning minimax-Q learning two-team zero-sum Markov games |
| A Bio-Inspired Integration Model of Basal Ganglia and Cerebellum for Motion Learning of a Musculoskeletal Robot 期刊论文
Journal of Systems Science and Complexity, 2024, 卷号: 37, 页码: 82-113
作者: Jinhan Zhang; Jiahao Chen; Shanlin Zhong; Hong Qiao
Adobe PDF(1513Kb) | 收藏 | 浏览/下载：58/15 | 提交时间：2024/06/04 |
| Motion Learning for Musculoskeletal Robots Based on Cortex-Inspired Motor Primitives and Modulation 期刊论文
IEEE Transactions on Cognitive and Developmental Systems, 2024, 卷号: 16, 期号: 2, 页码: 744-756
作者: Xiaona Wang; Jiahao Chen; Wei Wu
Adobe PDF(3444Kb) | 收藏 | 浏览/下载：36/9 | 提交时间：2024/06/04
Biologically inspired control motor preparation motor primitive musculoskeletal robot recurrent neural network (RNN) |
| 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 |
| Memory, attention, and muscle synergies based reinforcement and transfer learning for musculoskeletal robots under imperfect observation 期刊论文
IEEE/ASME Transactions on Mechatronics, 2024, 页码: doi:10.1109/TMECH.2024.3401045
作者: Chen JH(陈嘉浩); Wu YX(吴亚雄); Qiao H(乔红)
Adobe PDF(5646Kb) | 收藏 | 浏览/下载：25/6 | 提交时间：2024/06/04
Muscle synergy musculoskeletal robots reinforcement learning |
