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A Novel Heterogeneous Actor-critic Algorithm with Recent Emphasizing Replay Memory 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 619-631
作者:  Bao Xi;  Rui Wang;  Ying-Hao Cai;  TaoLu;  Shuo Wang
Adobe PDF(2505Kb)  |  收藏  |  浏览/下载:208/60  |  提交时间:2021/07/20
Reinforcement learning (RL)  actor-critic  experience replay  training efficiency  manipulation skill learning  
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:285/63  |  提交时间:2021/05/24
Euclidean distance transform (EDT)  multiple-labelled objects  tied distances  fractal analysis  texture analysis  
A Survey on Deep Learning-based Fine-grained Object Classification and Semantic Segmentation 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 2, 页码: 119-135
作者:  Bo Zhao;  Jiashi Feng;  Xiao Wu;  Shuicheng Yan
浏览  |  Adobe PDF(5409Kb)  |  收藏  |  浏览/下载:200/48  |  提交时间:2021/02/23
Deep learning  fine-grained image classi¯cation  semantic segmentation  convolutional neural network (CNN)  recurrent neural network (RNN).  
Actuator Fault Monitoring and Fault Tolerant Control in Distillation Columns 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 1, 页码: 80-92
作者:  Sulaiman Ayobami Lawal;  Jie Zhang
Adobe PDF(13749Kb)  |  收藏  |  浏览/下载:301/51  |  提交时间:2021/02/23
Dynamic principal component analysis  fault detection and diagnosis  distillation column  fault tolerant controller  inferential control.  
Molecular Dynamics Simulation of Persistent Slip Bands Formation in Nickel-base Superalloys 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 1, 页码: 68-79
作者:  Jian-Feng Huang;  Zhong-Lai Wang;  Er-Fu Yang;  Don McGlinchey;  Yuan-Xin Luo;  Yun Li;  Yi Chen
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Persistent slip bands (PSB)  molecular dynamics  superalloys  computational simulation  embedded atom model (EAM).  
An Effective Density Based Approach to Detect Complex Data Clusters Using Notion of Neighborhood Difference 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 1, 页码: 57-67
作者:  S. Nagaraju;  Manish Kashyap;  Mahua Bhattachraya
Adobe PDF(30557Kb)  |  收藏  |  浏览/下载:154/39  |  提交时间:2021/02/23
Density based clustering  neighborhood difference  density-based spatial clustering of applications with noise (DBSCAN)  space density indexing (SDI)  core object.  
A Novel Minkowski-distance-based Consensus Clustering Algorithm 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 1, 页码: 33-44
作者:  De-Gang Xu;  Pan-Lei Zhao;  Chun-Hua Yang;  Wei-Hua Gui;  Jian-Jun He
Adobe PDF(10416Kb)  |  收藏  |  浏览/下载:114/49  |  提交时间:2021/02/23
Minkowski distance  consensus clustering  similarity matrix  process data  froth flotation.  
Adaptive Tracking Control of Mobile Manipulators with Affine Constraints and Under-actuated Joints 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 6, 页码: 728-735
作者:  Wei Sun;  Wen-Xing Yuan;  Yu-Qiang Wu
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Tracking control  affine constraints  mobile manipulators  under-actuated joints  dynamic coupling.  
Automated Segmentation of Left Ventricle Using Local and Global Intensity Based Active Contour and Dynamic Programming 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 6, 页码: 673-688
作者:  G. Dharanibai;  Anupama Chandrasekharan;  Zachariah C. Alex
浏览  |  Adobe PDF(4844Kb)  |  收藏  |  浏览/下载:171/52  |  提交时间:2021/02/23
Cardiovascular magnetic resonance  left ventricle  endocardium  epicardium  myocardium  segmentation  active contour  dynamic programming.  
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:134/40  |  提交时间:2021/02/23
Deep learning  healthcare  electronic health records (EHR)  neural networks  survey.