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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：254/53  |  提交时间：2021/11/26
Abdominal organ, supervised segmentation  semi-supervised segmentation  evaluation metrics  image segmentation  machine learning  
Behavior-based Autonomous Navigation and Formation Control of Mobile Robots in Unknown Cluttered Dynamic Environments with Dynamic Target Tracking 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 766-786
作者:  Nacer Hacene;  Boubekeur Mendil
Adobe PDF(6433Kb)  |  收藏  |  浏览/下载：215/55  |  提交时间：2021/09/13
Behavior-based autonomous navigation  dynamic obstacles and walls  dynamic target tracking  formation control of multi-robot systems  dynamic environment  
STEP AP 242 Managed Model-based 3D Engineering: An Application Towards the Automation of Fixture Planning 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 731-746
作者:  Remil George Thomas;  Deepak Lawrence K.;  Manu R.
Adobe PDF(1714Kb)  |  收藏  |  浏览/下载：196/36  |  提交时间：2021/09/13
Standard for the exchange of product model data (STEP) application protocol (AP) 242  product manufacturing information  computer-aided fixture design  computer aided design (CAD)/computer aided manufacturing (CAM), automation  computer integrated manufacturing  3D surface roughness  
STRNet: Triple-stream Spatiotemporal Relation Network for Action Recognition 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 718-730
作者:  Zhi-Wei Xu;  Xiao-Jun Wu;  Josef Kittler
Adobe PDF(1129Kb)  |  收藏  |  浏览/下载：213/55  |  提交时间：2021/09/13
Action recognition  spatiotemporal relation  multi-branch fusion  long-term representation  video classification  
Toward Coordination Control of Multiple Fish-Like Robots: Real-Time Vision-Based Pose Estimation and Tracking via Deep Neural Networks 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 12, 页码: 1964-1976
作者:  Tianhao Zhang;  Jiuhong Xiao;  Liang Li;  Chen Wang;  Guangming Xie
Adobe PDF(40902Kb)  |  收藏  |  浏览/下载：131/16  |  提交时间：2021/09/03
Deep neural networks  formation control  multiple fish-like robots  pose estimation  pose tracking  
Variational Gridded Graph Convolution Network for Node Classification 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 10, 页码: 1697-1708
作者:  Xiaobin Hong;  Tong Zhang;  Zhen Cui;  Jian Yang
Adobe PDF(2419Kb)  |  收藏  |  浏览/下载：147/43  |  提交时间：2021/09/03
Graph coarsening  gridding  node classification  random walk  variational convolution  
Hierarchical Reinforcement Learning With Automatic Sub-Goal Identification 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 10, 页码: 1686-1696
作者:  Chenghao Liu;  Fei Zhu;  Quan Liu;  Yuchen Fu
Adobe PDF(5095Kb)  |  收藏  |  浏览/下载：134/48  |  提交时间：2021/09/03
Hierarchical control  hierarchical reinforcement learning  option  sparse reward  sub-goal  
Vehicle Motion Prediction at Intersections Based on the Turning Intention and Prior Trajectories Model 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 10, 页码: 1657-1666
作者:  Ting Zhang;  Wenjie Song;  Mengyin Fu;  Yi Yang;  Meiling Wang
Adobe PDF(19741Kb)  |  收藏  |  浏览/下载：193/38  |  提交时间：2021/09/03
Autonomous vehicle  intersection  motion prediction  prior trajectories model  turning intention  
Generating Adversarial Samples on Multivariate Time Series using Variational Autoencoders 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 9, 页码: 1523-1538
作者:  Samuel Harford;  Fazle Karim;  Houshang Darabi
Adobe PDF(12886Kb)  |  收藏  |  浏览/下载：151/46  |  提交时间：2021/09/03
Adversarial machine learning  deep learning  multivariate time series  perturbation methods  
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：205/60  |  提交时间：2021/07/20
Reinforcement learning (RL)  actor-critic  experience replay  training efficiency  manipulation skill learning