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| Fault Information Recognition for On-board Equipment of High-speed Railway Based on Multi-neural Network Collaboration 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 935-946 作者: Lu-Jie Zhou; Jian-Wu Dang; Zhen-Hai Zhang
Adobe PDF(1263Kb)  |   收藏  |  浏览/下载:259/58  |  提交时间:2021/11/26 Train control system Chinese named entity recognition (NER) character feature gating mechanism bidirectional long short-term memory (BiLSTM) |
| Global FLS-based Consensus of Stochastic Uncertain Nonlinear Multi-agent Systems 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 826-837 作者: Jia-Xi Chen; Jun-Min Li
Adobe PDF(2352Kb)  |   收藏  |  浏览/下载:244/57  |  提交时间:2021/09/13 Fuzzy logic systems stochastic nonlinear multi-agent systems (MAS) consensus algorithm adaptive control |
| Fault Classification for On-board Equipment of High-speed Railway Based on Attention Capsule Network 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 814-825 作者: Lu-Jie Zhou; Jian-Wu Dang; Zhen-Hai Zhan
Adobe PDF(1208Kb)  |   收藏  |  浏览/下载:264/61  |  提交时间:2021/09/13 On-board equipment fault classification capsule network attention mechanism focal loss |
| STRNet: Triple-stream Spatiotemporal Relation Network for Action Recognition 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 718-730 作者: Zhi-Wei Xu; Xiao-Jun Wu; Josef Kittler
Adobe PDF(1129Kb)  |   收藏  |  浏览/下载:214/55  |  提交时间:2021/09/13 Action recognition spatiotemporal relation multi-branch fusion long-term representation video classification |
| Why and When Can Deep-but Not Shallow-networks Avoid the Curse of Dimensionality: A Review 期刊论文 International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 5, 页码: 503-519 作者: Tomaso Poggio; Hrushikesh Mhaskar; Lorenzo Rosasco; Brando Miranda; Qianli Liao
浏览  |   Adobe PDF(1711Kb)  |   收藏  |  浏览/下载:219/36  |  提交时间:2021/02/23 Deep learning fine-grained image classification semantic segmentation convolutional neural network (CNN) recurrent neural network (RNN). |
| A Survey on Deep Learning-based Fine-grained Object Classification and Semantic Segmentation 期刊论文 International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 2, 页码: 119-135 作者: Bo Zhao ; Jiashi Feng; Xiao Wu; Shuicheng Yan
浏览  |   Adobe PDF(5409Kb)  |   收藏  |  浏览/下载:198/47  |  提交时间:2021/02/23 Deep learning fine-grained image classi¯cation semantic segmentation convolutional neural network (CNN) recurrent neural network (RNN). |
| An Energy-based Nonlinear Coupling Control for Offshore Ship-mounted Cranes 期刊论文 International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 5, 页码: 570-581 作者: Yu-Zhe Qian; Yong-Chun Fang; Tong Yang
浏览  |   Adobe PDF(1113Kb)  |   收藏  |  浏览/下载:160/59  |  提交时间:2021/02/23 Energy-based control offshore ship-mounted cranes Lyapunov methods underactuated nonlinear control systems. |
| PSO Optimal Control of Model-free Adaptive Control for PVC Polymerization Process 期刊论文 International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 4, 页码: 482-491 作者: Shu-Zhi Gao; Xiao-Feng Wu; Liang-Liang Luan; Jie-Sheng Wang; Gui-Cheng Wang
浏览  |   Adobe PDF(1024Kb)  |   收藏  |  浏览/下载:171/55  |  提交时间:2021/02/23 Polyvinyl chloride (PVC) polymerization temperature model-free adaptive control particle swarm optimization (PSO) algorithm. |
| A Survey of Scene Understanding by Event Reasoning in Autonomous Driving 期刊论文 International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 3, 页码: 249-266 作者: Jian-Ru Xue; Jian-Wu Fang; Pu Zhang
浏览  |   Adobe PDF(2242Kb)  |   收藏  |  浏览/下载:131/44  |  提交时间:2021/02/23 Autonomous vehicle scene understanding event reasoning intention prediction scene representation. |
| Feedforward Control for Wind Turbine Load Reduction with Pseudo-LIDAR Measurement 期刊论文 International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 2, 页码: 142-155 作者: Jie Bao; Hong Yue; William E. Leithead; Ji-Qiang Wang
浏览  |   Adobe PDF(7211Kb)  |   收藏  |  浏览/下载:134/44  |  提交时间:2021/02/23 Wind turbine control light detection and ranging (LIDAR) measurement feedforward control load reduction gain scheduling disturbance rejection. |