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| An Immersive Virtual Reality System for Rodents in Behavioral and Neural Research 期刊论文 International Journal of Automation and Computing, 2021, 期号: 18(5), 页码: 838-848 作者: Li Liu; Zi-yang Wang; Yu Liu; Chun Xu Adobe PDF(1271Kb)  |  收藏  |  浏览/下载:254/67  |  提交时间:2022/04/07 Virtual space flexible control multi-sensory interactions visual programming context cognition |
| Evolutionary Computation for Large-scale Multi-objective Optimization: A Decade of Progresses 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 155-169 作者: Wen-Jing Hong; Peng Yang; Ke Tang Adobe PDF(946Kb)  |  收藏  |  浏览/下载:136/36  |  提交时间:2021/04/22 Large-scale multi-objective optimization high-dimensional search space evolutionary computation evolutionary algorithms scalability |
| STEP AP 242 Managed Model-based 3D Engineering: An Application Towards the Automation of Fixture Planning 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 731-746 作者: Remil George Thomas; Deepak Lawrence K.; Manu R. Adobe PDF(1714Kb)  |  收藏  |  浏览/下载:155/26  |  提交时间:2021/09/13 Standard for the exchange of product model data (STEP) application protocol (AP) 242 product manufacturing information computer-aided fixture design computer aided design (CAD)/computer aided manufacturing (CAM), automation computer integrated manufacturing 3D surface roughness |
| EDT Method for Multiple Labelled Objects Subject to Tied Distances 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 468-479 作者: Andre Marasca; Andre Backes; Fabio Favarim; Marcelo Teixeira; Dalcimar Casanova Adobe PDF(2313Kb)  |  收藏  |  浏览/下载:251/51  |  提交时间:2021/05/24 Euclidean distance transform (EDT) multiple-labelled objects tied distances fractal analysis texture analysis |
| Identification and classification of driving behaviour at a signalized intersection using support vector machine 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 480-491 作者: Soni Lanka Karri; Liyanage Chandratilak De Silva; Daphne Teck Ching Lai; Shiaw Yin Yong Adobe PDF(1497Kb)  |  收藏  |  浏览/下载:528/312  |  提交时间:2021/05/24 Signalized intersection driving behaviour machine learning support vector machine (SVM) road accidents |
| PokerNet: Expanding Features Cheaply via Depthwise Convolutions 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 432-442 作者: Wei Tang; Yan Huang; Liang Wang Adobe PDF(1163Kb)  |  收藏  |  浏览/下载:216/32  |  提交时间:2021/05/24 Deep learning depthwise convolution lightweight deep model model compression model acceleration |
| 2D and 3D Palmprint and Palm Vein Recognition Based on Neural Architecture Search 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 377-409 作者: Wei Jia; Wei Xia; Yang Zhao; Hai Min; Yan-Xiang Chen Adobe PDF(15758Kb)  |  收藏  |  浏览/下载:288/43  |  提交时间:2021/05/24 Performance evaluation neural architecture search biometrics palmprint palm vein deep learning |
| Improved Network for Face Recognition Based on Feature Super Resolution Method 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 915-925 作者: Ling-Yi Xu; Zoran Gajic Adobe PDF(1989Kb)  |  收藏  |  浏览/下载:163/40  |  提交时间:2021/11/26 Face recognition feature super resolution multiple-branch network deep learning convolutional neural networks |
| 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:264/62  |  提交时间:2021/05/24 Group activity recognition (GAR) human activity recognition scene understanding video analysis computer vision |
| 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:194/38  |  提交时间:2021/05/24 Deep audio-visual learning audio-visual separation and localization correspondence learning generative models representation learning |