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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:243/64  |  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:263/62  |  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:192/37  |  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:260/38  |  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:208/47  |  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:213/50  |  提交时间:2021/09/13 On-board equipment fault classification capsule network attention mechanism focal loss |
| 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:169/50  |  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 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. |
| Integration of Facial Thermography in EEG-based Classification of ASD 期刊论文 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 6, 页码: 837-854 作者: Dilantha Haputhanthri; Gunavaran Brihadiswaran; Sahan Gunathilaka; Dulani Meedeniya; Sampath Jayarathna; Mark Jaime; Christopher Harshaw Adobe PDF(1617Kb)  |  收藏  |  浏览/下载:187/58  |  提交时间:2021/02/22 Autism spectrum disorder facial thermography EEG signal processing machine learning decision support system ASDGenus. |
| A Comprehensive Review of Path Planning Algorithms for Autonomous Underwater Vehicles 期刊论文 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 3, 页码: 321-352 作者: Madhusmita Panda; Bikramaditya Das; Bidyadhar Subudhi; Bibhuti Bhusan Pati 浏览  |  Adobe PDF(2673Kb)  |  收藏  |  浏览/下载:187/46  |  提交时间:2021/02/22 Autonomous underwater vehicle (AUV) cooperative motion formation control optimization path planning (PP). |