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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:219/48  |  提交时间:2021/11/26
Abdominal organ, supervised segmentation  semi-supervised segmentation  evaluation metrics  image segmentation  machine learning  
Robust Optimal Higher-order-observer-based Dynamic Sliding Mode Control for VTOL Unmanned Aerial Vehicles 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 802-813
作者:  Yashar Mousavi;  Amin Zarei;  Arash Mousavi;  Mohsen Biari
Adobe PDF(4822Kb)  |  收藏  |  浏览/下载:206/42  |  提交时间:2021/09/13
Unmanned aerial vehicle  dynamic sliding mode  trajectory tracking  fractional firefly algorithm  vertical take-off and landing system  
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:175/44  |  提交时间:2021/09/13
Action recognition  spatiotemporal relation  multi-branch fusion  long-term representation  video classification  
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:183/41  |  提交时间:2021/07/20
Self-supervised learning  contrastive learning  synthetic image  convolutional neural network  representation learning  
Development of Granular Fuzzy Relation Equations Based on a Subset of Data 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 8, 页码: 1416-1427
作者:  Dan Wang;  Xiubin Zhu;  Witold Pedycz;  Zhenhua Yu;  Zhiwu Li
Adobe PDF(1808Kb)  |  收藏  |  浏览/下载:158/43  |  提交时间:2021/06/11
A subset of data  granular fuzzy relation equations  interval-valued fuzzy relation  particle swarm optimization (PSO)  
CurveNet: Curvature-Based Multitask Learning Deep Networks for 3D Object Recognition 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 6, 页码: 1177-1187
作者:  A. A. M. Muzahid;  Wanggen Wan;  Ferdous Sohel;  Lianyao Wu;  Li Hou
Adobe PDF(3792Kb)  |  收藏  |  浏览/下载:149/27  |  提交时间:2021/06/11
3D shape analysis  convolutional neural network  DNNs  object classification  volumetric CNN  
Deep Audio-Visual Learning: A Survey 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 351-376
作者:  Hao Zhu;  Man-Di Luo;  Rui Wang;  Ai-Hua Zheng;  Ran He
Adobe PDF(1864Kb)  |  收藏  |  浏览/下载:197/38  |  提交时间:2021/05/24
Deep audio-visual learning  audio-visual separation and localization  correspondence learning  generative models  representation learning  
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:266/39  |  提交时间:2021/05/24
Deep learning  visual tracking  data-invariant  data-adaptive  general components  
Suction-based Grasp Point Estimation in Cluttered Environment for Robotic Manipulator Using Deep Learning-based Affordance Map 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 277-287
作者:  Tri Wahyu Utomo, Adha Imam Cahyadi, Igi Ardiyanto
Adobe PDF(913Kb)  |  收藏  |  浏览/下载:154/57  |  提交时间:2021/04/22
Grasping point estimation  household objects  red, green, blue and depth (RGBD) channel image  semantic segmentation  cluttered environment  
Computational Decision Support System for ADHD Identification 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 233-255
作者:  Senuri De Silva;  Sanuwani Dayarathna;  Gangani Ariyarathne;  Dulani Meedeniya;  Sampath Jayarathna;  Anne M. P. Michalek
Adobe PDF(1937Kb)  |  收藏  |  浏览/下载:282/79  |  提交时间:2021/04/22
Attention deficit/hyperactivity disorder (ADHD)  functional magnetic resonance imaging (fMRI)  eye movement data  seed-based correlation  ensembled model  convolutional neural network (CNN)  default mode network (DMN)  saccades  fixations  ADHD-Care decision support system (DDS)