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| Parallel learning: a perspective and a framework 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2017, 卷号: 4, 期号: 3, 页码: 389 - 395 作者: Li Li; Yilun Lin ; Nanning Zheng; Fei-Yue Wang![](/image/person.jpg)
Adobe PDF(1354Kb)  |   收藏  |  浏览/下载:150/37  |  提交时间:2023/03/07 |
| 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
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. |
| Why Deep Neural Nets Cannot Ever Match Biological Intelligence and What To Do About It? 期刊论文 International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 5, 页码: 532-541 作者: Danko Nikolic
浏览  |   Adobe PDF(349Kb)  |   收藏  |  浏览/下载:140/29  |  提交时间:2021/02/23 Artificial intelligence neural networks strong artificial intelligence practopoiesis, machine learning. |
| 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
Adobe PDF(1711Kb)  |   收藏  |  浏览/下载:222/36  |  提交时间:2021/02/23 Deep learning fine-grained image classification semantic segmentation convolutional neural network (CNN) recurrent neural network (RNN). |
| Event-based Control and Filtering of Networked Systems: A Survey 期刊论文 International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 3, 页码: 239-253 作者: Lei Zou; Zi-Dong Wang; Dong-Hua Zhou
Adobe PDF(3631Kb)  |   收藏  |  浏览/下载:203/46  |  提交时间:2021/02/23 Event-triggered transmission networked systems event-based control event-based filtering event-triggered distributed state estimation distributed control with event-based protocol. |
| PLS-CCA Heterogeneous Features Fusion-based Low-resolution Human Detection Method for Outdoor Video Surveillance 期刊论文 International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 2, 页码: 136-146 作者: Hong-Kai Chen ; Xiao-Guang Zhao ; Shi-Ying Sun ; Min Tan![](/image/person.jpg)
浏览  |   Adobe PDF(13495Kb)  |   收藏  |  浏览/下载:242/47  |  提交时间:2021/02/23 Low-resolution human detection partial least squares canonical correlation analysis heterogeneous features outdoor video surveillance. |
| 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:200/48  |  提交时间:2021/02/23 Deep learning fine-grained image classi¯cation semantic segmentation convolutional neural network (CNN) recurrent neural network (RNN). |
| Actuator Fault Monitoring and Fault Tolerant Control in Distillation Columns 期刊论文 International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 1, 页码: 80-92 作者: Sulaiman Ayobami Lawal; Jie Zhang
浏览  |   Adobe PDF(13749Kb)  |   收藏  |  浏览/下载:300/51  |  提交时间:2021/02/23 Dynamic principal component analysis fault detection and diagnosis distillation column fault tolerant controller inferential control. |
| Molecular Dynamics Simulation of Persistent Slip Bands Formation in Nickel-base Superalloys 期刊论文 International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 1, 页码: 68-79 作者: Jian-Feng Huang; Zhong-Lai Wang; Er-Fu Yang; Don McGlinchey; Yuan-Xin Luo; Yun Li; Yi Chen
浏览  |   Adobe PDF(29631Kb)  |   收藏  |  浏览/下载:135/27  |  提交时间:2021/02/23 Persistent slip bands (PSB) molecular dynamics superalloys computational simulation embedded atom model (EAM). |
| An Effective Density Based Approach to Detect Complex Data Clusters Using Notion of Neighborhood Difference 期刊论文 International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 1, 页码: 57-67 作者: S. Nagaraju; Manish Kashyap; Mahua Bhattachraya
浏览  |   Adobe PDF(30557Kb)  |   收藏  |  浏览/下载:154/39  |  提交时间:2021/02/23 Density based clustering neighborhood difference density-based spatial clustering of applications with noise (DBSCAN) space density indexing (SDI) core object. |