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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:250/66  |  提交时间:2022/04/07 Virtual space flexible control multi-sensory interactions visual programming context cognition |
| A Model of Spray Tool and a Parameter Optimization Method for Spraying Path Planning 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 1017-1031 作者: Ruxiang Hua; Wei Zou; Guodong Chen; Hongxuan Ma; Wei Zhang Adobe PDF(3022Kb)  |  收藏  |  浏览/下载:128/37  |  提交时间:2023/07/04 Digital camouflage spraying robot path optimization parameter setting coating thickness uniformity |
| 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:240/64  |  提交时间:2021/02/23 Computational intelligence evolutionary computation neural network deep learning remote sensing image registration |
| 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 |
| A Spatial Cognitive Model that Integrates the Effects of Endogenous and Exogenous Information on the Hippocampus and Striatum 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 632-644 作者: Jing Huang; He-Yuan Yang; Xiao-Gang Ruan; Nai-Gong Yu; Guo-Yu Zuo; Hao-Meng Liu Adobe PDF(1915Kb)  |  收藏  |  浏览/下载:179/51  |  提交时间:2021/07/20 Exogenous and endogenous information hippocampus, striatum spatial cognition brain-inspired computation |
| Evolutionary Computation in Social Propagation over Complex Networks: A Survey 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 503-520 作者: Tian-Fang Zhao; Wei-Neng Chen; Xin-Xin Ma; Xiao-Kun Wu Adobe PDF(1283Kb)  |  收藏  |  浏览/下载:131/36  |  提交时间:2021/07/20 Evolutionary computation complex network propagation dynamics social diffusion evolution model optimization algorithm |
| 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. |
| Optimal Design of Fuzzy-AGC Based on PSO & RCGA to Improve Dynamic Stability of Interconnected Multi-area Power Systems 期刊论文 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 4, 页码: 599-609 作者: Ali Darvish Falehi 浏览  |  Adobe PDF(3763Kb)  |  收藏  |  浏览/下载:122/39  |  提交时间:2021/02/22 Power system dynamic stability fuzzy logic automatic generation control (FLAGC) particle swarm optimization (PSO) real coded genetic algorithm (RCGA) simultaneous coordination scheme. |
| Dual-modal Physiological Feature Fusion-based Sleep Recognition Using CFS and RF Algorithm 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 286-296 作者: Bing-Tao Zhang; Xiao-Peng Wang; Yu Shen 浏览  |  Adobe PDF(847Kb)  |  收藏  |  浏览/下载:158/38  |  提交时间:2021/02/22 Feature fusion mild difficulty in falling asleep (MDFA) decision support tool sleep issues optimal feature set. |
| Applying Deep Learning to Individual and Community Health Monitoring Data: A Survey 期刊论文 International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 6, 页码: 643-655 作者: Zhen-Jie Yao; Jie Bi; Yi-Xin Chen 浏览  |  Adobe PDF(692Kb)  |  收藏  |  浏览/下载:102/27  |  提交时间:2021/02/23 Deep learning healthcare electronic health records (EHR) neural networks survey. |