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| 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:132/35  |  提交时间:2021/04/22 Large-scale multi-objective optimization high-dimensional search space evolutionary computation evolutionary algorithms scalability |
| 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 |
| 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:214/32  |  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:277/42  |  提交时间:2021/05/24 Performance evaluation neural architecture search biometrics palmprint palm vein deep learning |
| A Performance Evaluation of Classic Convolutional Neural Networks for 2D and 3D Palmprint and Palm Vein Recognition 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 1, 页码: 18-44 作者: Wei Jia; Jian Gao; Wei Xia; Yang Zhao; Hai Min; Jing-Ting Lu Adobe PDF(2680Kb)  |  收藏  |  浏览/下载:212/76  |  提交时间:2021/02/23 Performance evaluation convolutional neural network (CNN) biometrics palmprint palm vein deep learning |
| Structured Computational Modeling of Human Visual System for No-reference Image Quality Assessment 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 204-218 作者: Wen-Han Zhu; Wei Sun; Xiong-Kuo Min; Guang-Tao Zhai; Xiao-Kang Yang Adobe PDF(1343Kb)  |  收藏  |  浏览/下载:161/54  |  提交时间:2021/04/22 Image quality assessment (IQA) no-reference (NR) structural computational modeling human visual system visual feature extraction |
| 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:186/46  |  提交时间:2021/02/22 Autonomous underwater vehicle (AUV) cooperative motion formation control optimization path planning (PP). |
| Bounded Evaluation: Querying Big Data with Bounded Resources 期刊论文 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 4, 页码: 502-526 作者: Yang Cao; Wen-Fei Fan; Teng-Fei Yuan 浏览  |  Adobe PDF(2149Kb)  |  收藏  |  浏览/下载:107/28  |  提交时间:2021/02/22 Bounded evaluation resource-bounded query processing effective syntax access schema boundedness. |
| Electronic Nose and Its Applications: A Survey 期刊论文 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 179-209 作者: Diclehan Karakaya; Oguzhan Ulucan; Mehmet Turkan 浏览  |  Adobe PDF(1365Kb)  |  收藏  |  浏览/下载:167/32  |  提交时间:2021/02/22 Artificial intelligence machine learning pattern recognition electronic nose (EN) sensors technology. |
| Image Encryption Algorithm Based on Compressive Sensing and Fractional DCT via Polynomial Interpolation 期刊论文 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 292-304 作者: Ya-Ru Liang; Zhi-Yong Xiao 浏览  |  Adobe PDF(1665Kb)  |  收藏  |  浏览/下载:137/54  |  提交时间:2021/02/22 Compressive sensing fractional discrete cosine transform (DCT) via polynomial interpolation image encryption three-dimensional piecewise and nonlinear chaotic maps real-valued output. |