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| Computational Intelligence in Remote Sensing Image Registration: A survey 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 1, 页码: 1-17 作者: Yue Wu; Jun-Wei Liu; Chen-Zhuo Zhu; Zhuang-Fei Bai; Qi-Guang Miao; Wen-Ping Ma; Mao-Guo Gong 浏览  |  Adobe PDF(995Kb)  |  收藏  |  浏览/下载:239/63  |  提交时间:2021/02/23 Computational intelligence evolutionary computation neural network deep learning remote sensing image registration |
| 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:262/61  |  提交时间:2021/05/24 Group activity recognition (GAR) human activity recognition scene understanding video analysis computer vision |
| 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:189/36  |  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 |
| 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:258/37  |  提交时间:2021/05/24 Deep learning visual tracking data-invariant data-adaptive general components |
| Supervised and Semi-supervised Methods for Abdominalm Organ Segmentation: A Review 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 887-914 作者: Isaac Baffour Senkyire; Zhe Liu Adobe PDF(1308Kb)  |  收藏  |  浏览/下载:206/47  |  提交时间:2021/11/26 Abdominal organ, supervised segmentation semi-supervised segmentation evaluation metrics image segmentation machine learning |
| 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:210/50  |  提交时间:2021/09/13 On-board equipment fault classification capsule network attention mechanism focal loss |
| Dynamic System Identification of Underwater Vehicles Using Multi-output Gaussian Processes 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 681-693 作者: Wilmer Ariza Ramirez; Juš Kocijan; Zhi Quan Leong; Hung Duc Nguyen; Shantha Gamini Jayasinghe Adobe PDF(3231Kb)  |  收藏  |  浏览/下载:136/39  |  提交时间:2021/09/13 Dependent Gaussian processes dynamic system identification multi-output Gaussian processes non-parametric identification autonomous underwater vehicle (AUV) |
| Fire Detection Method Based on Depthwise Separable Convolution and YOLOv3 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 300-310 作者: Yue-Yan Qin; Jiang-Tao Cao; Xiao-Fei Ji Adobe PDF(2289Kb)  |  收藏  |  浏览/下载:166/49  |  提交时间:2021/04/22 Fire detection depthwise separable convolution fire classification You Only Look Once version 3 (YOLOv3) target regression |
| Item Response Theory Based Ensemble in Machine Learning 期刊论文 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 5, 页码: 621-636 作者: Ziheng Chen; Hongshik Ahn 浏览  |  Adobe PDF(1163Kb)  |  收藏  |  浏览/下载:161/83  |  提交时间:2021/02/22 Classification ensemble learning item response theory machine learning expectation maximization (EM) algorithm. |
| Hidden Markov Model Approach for Software Reliability Estimation with Logic Error 期刊论文 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 305-320 作者: R. Bharathi; R. Selvarani 浏览  |  Adobe PDF(1248Kb)  |  收藏  |  浏览/下载:179/66  |  提交时间:2021/02/22 Hidden Markov model (HMM) reliability logic error safety critical software failure. |