已选(0)清除
条数/页: 排序方式: |
| Dynamic Event-triggered Control and Estimation: A Survey 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 857-886 作者: Xiaohua Ge; Qing-Long Han; Xian-Ming Zhang; Derui Ding Adobe PDF(3887Kb)  |  收藏  |  浏览/下载:236/42  |  提交时间:2021/11/26 Networked systems dynamic event-triggered control dynamic event-triggered estimation dynamic event-triggered mechanisms vehicle active suspension system water distribution and supply system |
| Robust Optimal Higher-order-observer-based Dynamic Sliding Mode Control for VTOL Unmanned Aerial Vehicles 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 802-813 作者: Yashar Mousavi; Amin Zarei; Arash Mousavi; Mohsen Biari Adobe PDF(4822Kb)  |  收藏  |  浏览/下载:227/48  |  提交时间:2021/09/13 Unmanned aerial vehicle dynamic sliding mode trajectory tracking fractional firefly algorithm vertical take-off and landing system |
| Behavior-based Autonomous Navigation and Formation Control of Mobile Robots in Unknown Cluttered Dynamic Environments with Dynamic Target Tracking 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 766-786 作者: Nacer Hacene; Boubekeur Mendil Adobe PDF(6433Kb)  |  收藏  |  浏览/下载:217/55  |  提交时间:2021/09/13 Behavior-based autonomous navigation dynamic obstacles and walls dynamic target tracking formation control of multi-robot systems dynamic environment |
| Contrastive Self-supervised Representation Learning Using Synthetic Data 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 556-567 作者: Dong-Yu She; Kun Xu Adobe PDF(993Kb)  |  收藏  |  浏览/下载:209/53  |  提交时间:2021/07/20 Self-supervised learning contrastive learning synthetic image convolutional neural network representation learning |
| Learning Deep RGBT Representations for Robust Person Re-identification 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 443-456 作者: Ai-Hua Zheng; Zi-Han Chen; Cheng-Long Li; Jin Tang; Bin Luo Adobe PDF(1832Kb)  |  收藏  |  浏览/下载:298/68  |  提交时间:2021/05/24 Person re-identification (Re-ID) thermal infrared generative networks attention deep learning |
| Deep Audio-Visual Learning: A Survey 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 351-376 作者: Hao Zhu; Man-Di Luo; Rui Wang; Ai-Hua Zheng; Ran He Adobe PDF(1864Kb)  |  收藏  |  浏览/下载:233/52  |  提交时间:2021/05/24 Deep audio-visual learning audio-visual separation and localization correspondence learning generative models representation learning |
| A Comprehensive Review on Group Activity Recognition in Videos 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 334-350 作者: Li-Fang Wu; Qi Wang; Meng Jian; Yu Qiao; Bo-Xuan Zhao Adobe PDF(1415Kb)  |  收藏  |  浏览/下载:305/75  |  提交时间:2021/05/24 Group activity recognition (GAR) human activity recognition scene understanding video analysis computer vision |
| Advances in Deep Learning Methods for Visual Tracking: Literature Review and Fundamentals 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 311-333 作者: Xiao-Qin Zhang; Run-Hua Jiang; Chen-Xiang Fan; Tian-Yu Tong; Tao Wang Peng-Cheng Huang Adobe PDF(1787Kb)  |  收藏  |  浏览/下载:312/52  |  提交时间:2021/05/24 Deep learning visual tracking data-invariant data-adaptive general components |
| Prediction of Spatiotemporal Evolution of Urban Traffic Emissions Based on Taxi Trajectories 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 219-232 作者: Zhen-Yi Zhao; Yang Cao; Yu Kang; Zhen-Yi Xu Adobe PDF(1649Kb)  |  收藏  |  浏览/下载:167/63  |  提交时间:2021/04/22 Vehicle emission prediction spatiotemporal gragh convolution GPS trajectories motor vehicle emission simulator (MOVES) model feature sharing |
| On the Centre of Mass Motion in Human Walking 期刊论文 International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 5, 页码: 542-551 作者: Justin Carpentier; Mehdi Benallegue; Jean-Paul Laumond 浏览  |  Adobe PDF(3792Kb)  |  收藏  |  浏览/下载:191/61  |  提交时间:2021/02/23 Human locomotion analytical model centre of mass locomotion signature synergies. |