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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:235/58  |  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  
A Regularized LSTM Method for Predicting Remaining Useful Life of Rolling Bearings 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 581-593
作者:  Zhao-Hua Liu;  Xu-Dong Meng;  Hua-Liang Wei;  Liang Chen;  Bi-Liang Lu;  Zhen-Heng Wang;  Lei Chen
Adobe PDF(4710Kb)  |  收藏  |  浏览/下载:159/60  |  提交时间:2021/07/20
Deep learning  fault diagnosis  fault prognosis  long and short time memory network (LSTM)  rolling bearing  rotating machinery  regularization  remaining useful life prediction (RUL)  recurrent neural network (RNN)  
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:314/53  |  提交时间:2021/05/24
Deep learning  visual tracking  data-invariant  data-adaptive  general components  
Prediction of Spatiotemporal Evolution of Urban Traffic Emissions Based on Taxi Trajectories 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 219-232
作者:  Zhen-Yi Zhao;  Yang Cao;  Yu Kang;  Zhen-Yi Xu
Adobe PDF(1649Kb)  |  收藏  |  浏览/下载:167/63  |  提交时间:2021/04/22
Vehicle emission prediction  spatiotemporal gragh convolution  GPS trajectories  motor vehicle emission simulator (MOVES) model  feature sharing  
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
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Computational intelligence  evolutionary computation  neural network  deep learning  remote sensing image registration  
Recursive Bayesian Algorithm for Identification of Systems with Non-uniformly Sampled Input Data 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 3, 页码: 335-344
作者:  Shao-Xue Jing;  Tian-Hong Pan;  Zheng-Ming Li
浏览  |  Adobe PDF(1082Kb)  |  收藏  |  浏览/下载:178/63  |  提交时间:2021/02/23
Parameter estimation  discrete time systems  Gaussian noise  Bayesian algorithm  covariance resetting.  
Gesture Recognition Based on BP Neural Network Improved by Chaotic Genetic Algorithm 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 3, 页码: 267-276
作者:  Dong-Jie Li;  Yang-Yang Li;  Jun-Xiang Li;  Yu Fu
浏览  |  Adobe PDF(1459Kb)  |  收藏  |  浏览/下载:152/47  |  提交时间:2021/02/23
Gesture recognition  back propagation (BP) neural network  chaos algorithm  genetic algorithm  data glove.  
A Fuzzy Neural Network Based Dynamic Data Allocation Model on Heterogeneous Multi-GPUs for Large-scale Computations 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 2, 页码: 181-193
作者:  Chao-Long Zhang;  Yuan-Ping Xu;  Zhi-Jie Xu;  Jia He;  Jing Wang;  Jian-Hua Adu
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Heterogeneous GPU cluster  dynamic load balancing  fuzzy neural network  adaptive scheduler  discrete wavelet transform.  
Short Term Wind Speed Prediction Using Multiple Kernel Pseudo Inverse Neural Network 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 1, 页码: 66-83
作者:  S. P. Mishra;  P. K. Dash
浏览  |  Adobe PDF(3645Kb)  |  收藏  |  浏览/下载:142/47  |  提交时间:2021/02/23
Wind speed prediction  pseudo inverse neural network  kernel ridge regression  nonlinear kernels  firefly optimization.  
Management of Control Impacts Based on Maximizing the Spread of Influence 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 341-353
作者:  Alexander Tselykh;  Vladislav Vasilev;  Larisa Tselykh
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Directed weighted graphs  control impact  spread of influence  optimization algorithm  growth model.