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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：246/65  |  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：132/35  |  提交时间：2021/04/22
Large-scale multi-objective optimization  high-dimensional search space  evolutionary computation  evolutionary algorithms  scalability  
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：247/50  |  提交时间：2021/05/24
Euclidean distance transform (EDT)  multiple-labelled objects  tied distances  fractal analysis  texture analysis  
Image Inpainting Based on Structural Tensor Edge Intensity Model 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 256-265
作者:  Jing Wang, Yan-Hong Zhou, Hai-Feng Sima, Zhan-Qiang Huo, Ai-Zhong Mi
Adobe PDF(1679Kb)  |  收藏  |  浏览/下载：165/48  |  提交时间：2021/04/22
Exemplar-based technique  image inpainting  structural tensor  edge intensity model  structure propagation  balance operator  
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：235/63  |  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：213/32  |  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：273/41  |  提交时间：2021/05/24
Performance evaluation  neural architecture search  biometrics  palmprint  palm vein  deep learning  
Designing an Intelligent Control Philosophy in Reservoirs of Water Transfer Networks in Supervisory Control and Data Acquisition System Stations 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 694-717
作者:  Ali Dolatshahi Zand, Kaveh Khalili-Damghani, Sadigh Raissi
Adobe PDF(9772Kb)  |  收藏  |  浏览/下载：172/41  |  提交时间：2021/09/13
Water demand forecasting  water transfer network  supervisory control and data acquisition  water management, multi-core artificial neural network, fuzzy inference system  
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：155/39  |  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：262/61  |  提交时间：2021/05/24
Group activity recognition (GAR)  human activity recognition  scene understanding  video analysis  computer vision