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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：233/49  |  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：193/51  |  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  
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：205/50  |  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  
Dynamic System Identification of Underwater Vehicles Using Multi-output Gaussian Processes 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 681-693
作者:  Wilmer Ariza Ramirez;  Juš Kocijan;  Zhi Quan Leong;  Hung Duc Nguyen;  Shantha Gamini Jayasinghe
Adobe PDF(3231Kb)  |  收藏  |  浏览/下载：195/49  |  提交时间：2021/09/13
Dependent Gaussian processes  dynamic system identification  multi-output Gaussian processes  non-parametric identification  autonomous underwater vehicle (AUV)  
Decentralized Resilient H∞ Load Frequency Control for Cyber-Physical Power Systems Under DoS Attacks 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 11, 页码: 1737-1751
作者:  Xin Zhao;  Suli Zou;  Zhongjing Ma
Adobe PDF(3053Kb)  |  收藏  |  浏览/下载：183/36  |  提交时间：2021/09/03
Cyber-physical power systems (CPPSs)  denial-of-service (DoS) attacks  load frequency control (LFC)  sampled-data control  
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：124/45  |  提交时间：2021/09/03
Hierarchical control  hierarchical reinforcement learning  option  sparse reward  sub-goal  
Vision Based Hand Gesture Recognition Using 3D Shape Context 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 9, 页码: 1600-1613
作者:  Chen Zhu;  Jianyu Yang;  Zhanpeng Shao;  Chunping Liu
Adobe PDF(20003Kb)  |  收藏  |  浏览/下载：142/40  |  提交时间：2021/09/03
3D shape context  depth map  hand shape segmentation  hand gesture recognition  human-computer interaction  
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：135/43  |  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：183/54  |  提交时间：2021/07/20
Reinforcement learning (RL)  actor-critic  experience replay  training efficiency  manipulation skill learning  
Contrastive Self-supervised Representation Learning Using Synthetic Data 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 556-567
作者:  Dong-Yu She;  Kun Xu
Adobe PDF(993Kb)  |  收藏  |  浏览/下载：191/44  |  提交时间：2021/07/20
Self-supervised learning  contrastive learning  synthetic image  convolutional neural network  representation learning