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Multitask Policy Adversarial Learning for Human-Level Control With Large State Spaces 期刊论文
IEEE Transactions on Industrial Informatics Information, 2019, 卷号: 15, 期号: 4, 页码: 2395-2404
作者:  Wang JP(王军平);  You Kang Shi;  Wen Sheng Zhang;  Ian Thomas;  Shi Hui Duan
Adobe PDF(2547Kb)  |  收藏  |  浏览/下载:110/38  |  提交时间:2023/05/05
Apple detection during different growth stages in orchards using the improved YOLOV3 model 期刊论文
Computers and Electronics in Agriculture, 2019, 期号: 157, 页码: 417-426
作者:  Tian YN(田雨农)
Adobe PDF(4028Kb)  |  收藏  |  浏览/下载:137/45  |  提交时间:2022/01/07
Apple images acquisition  Image augmentation  Deep learning  YOLOV3-dense  Real-time detection  
Continuous Probabilistic SLAM Solved via Iterated Conditional Modes 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 838-850
作者:  J. Gimenez;  A. Amicarelli;  J. M. Toibero;  F. di Sciascio;  R. Carelli
Adobe PDF(2980Kb)  |  收藏  |  浏览/下载:211/70  |  提交时间:2021/02/22
Probabilistic simultaneous localization and mapping (SLAM)  dynamic obstacles  Markov random fields (MRF)  iterated conditional modes (ICM)  kernel estimator.  
Phenomenological Based Soft Sensor for Online Estimation of Slurry Rheological Properties 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 696-706
作者:  Jenny L. Diaz C.;  Diego A. Muñoz;  Hernan Alvarez
Adobe PDF(2306Kb)  |  收藏  |  浏览/下载:154/42  |  提交时间:2021/02/22
Soft sensor  phenomenological based semi-physical model  non-Newtonian fluids  unknown input observer  slurry flow.  
Predictive Control Based on Fuzzy Supervisor for PWARX Hybrid Model 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 683-695
作者:  Olfa Yahya;  Zeineb Lassoued;  Kamel Abderrahim
浏览  |  Adobe PDF(2179Kb)  |  收藏  |  浏览/下载:84/50  |  提交时间:2021/02/22
Nonlinear control  hybrid systems  mixed logical dynamic (MLD) model  predictive control  fuzzy supervisor.  
Multi-source Remote Sensing Image Registration Based on Contourlet Transform and Multiple Feature Fusion 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 575-588
作者:  Huan Liu;  Gen-Fu Xiao;  Yun-Lan Tan;  Chun-Juan Ouyang
浏览  |  Adobe PDF(2216Kb)  |  收藏  |  浏览/下载:150/40  |  提交时间:2021/02/22
Feature fusion  multi-scale circle Gaussian combined invariant moment  multi-direction gray level co-occurrence matrix  multi-source remote sensing image registration  contourlet transform.  
Time-space Viewpoint Planning for Guard Robot with Chance Constraint 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 475-490
作者:  Igi Ardiyanto;  Jun Miura
浏览  |  Adobe PDF(1427Kb)  |  收藏  |  浏览/下载:111/45  |  提交时间:2021/02/22
Guard robot  viewpoint planning  state-time space  uncertainty  topology  chance-constraint.  
Pedestrian Height Estimation and 3D Reconstruction Using Pixel-resolution Mapping Method Without Special Patterns 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 449-461
作者:  Bing-Xing Wu;  Suat Utku Ay;  Ahmed Abdel-Rahim
浏览  |  Adobe PDF(6241Kb)  |  收藏  |  浏览/下载:118/35  |  提交时间:2021/02/22
Traffic monitoring application  spatial resolution  pixel-resolution mapping (P-RM) method  3D information  pedestrian height estimation.  
Deep Learning Based Single Image Super-resolution: A Survey 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 413-426
作者:  Viet Khanh Ha;  Jin-Chang Ren;  Xin-Ying Xu;  Sophia Zhao;  Gang Xie;  Valentin Masero;  Amir Hussain
浏览  |  Adobe PDF(1389Kb)  |  收藏  |  浏览/下载:124/32  |  提交时间:2021/02/22
Image super-resolution  convolutional neural network  high-resolution image  low-resolution image  deep learning.  
Recent Advances in the Modelling and Analysis of Opinion Dynamics on Influence Networks 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 2, 页码: 129-149
作者:  Brian D. O. Anderson;  Mengbin Ye
浏览  |  Adobe PDF(1461Kb)  |  收藏  |  浏览/下载:128/48  |  提交时间:2021/02/22
Opinion dynamics  social networks  influence networks  agent-based models  multi-agent systems  networked systems.