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| An Immersive Virtual Reality System for Rodents in Behavioral and Neural Research 期刊论文 International Journal of Automation and Computing, 2021, 期号: 18(5), 页码: 838-848 作者: Li Liu; Zi-yang Wang ; Yu Liu ; Chun Xu
Adobe PDF(1271Kb)  |   收藏  |  浏览/下载:320/91  |  提交时间:2022/04/07 Virtual space flexible control multi-sensory interactions visual programming context cognition |
| Encoding-decoding Network With Pyramid Self-attention Module for Retinal Vessel Segmentation 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 973-980 作者: Cong-Zhong Wu; Jun Sun; Jing Wang ; Liang-Feng Xu; Shu Zhan
Adobe PDF(1416Kb)  |   收藏  |  浏览/下载:218/52  |  提交时间:2021/11/26 Retina vessel segmentation deep learning U-Net attention mechanism medical image |
| DLA+: A Light Aggregation Network for Object Classification and Detection 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 963-972 作者: Fu-Tian Wang; Li Yang ; Jin Tang; Si-Bao Chen; Xin Wang
Adobe PDF(1212Kb)  |   收藏  |  浏览/下载:279/35  |  提交时间:2021/11/26 Light weight image classification channel attention efficient convolution object detection |
| Improved Network for Face Recognition Based on Feature Super Resolution Method 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 915-925 作者: Ling-Yi Xu ; Zoran Gajic
Adobe PDF(1989Kb)  |   收藏  |  浏览/下载:227/52  |  提交时间:2021/11/26 Face recognition feature super resolution multiple-branch network deep learning convolutional neural networks |
| 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:262/55  |  提交时间:2021/11/26 Abdominal organ, supervised segmentation semi-supervised segmentation evaluation metrics image segmentation machine learning |
| 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:220/58  |  提交时间:2021/09/13 Action recognition spatiotemporal relation multi-branch fusion long-term representation video classification |
| 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:265/61  |  提交时间:2021/09/13 Dependent Gaussian processes dynamic system identification multi-output Gaussian processes non-parametric identification autonomous underwater vehicle (AUV) |
| A Regularized LSTM Method for Predicting Remaining Useful Life of Rolling Bearings 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 581-593 作者: Zhao-Hua Liu; Xu-Dong Meng; Hua-Liang Wei; Liang Chen ; Bi-Liang Lu; Zhen-Heng Wang; Lei Chen
Adobe PDF(4710Kb)  |   收藏  |  浏览/下载:164/62  |  提交时间:2021/07/20 Deep learning fault diagnosis fault prognosis long and short time memory network (LSTM) rolling bearing rotating machinery regularization remaining useful life prediction (RUL) recurrent neural network (RNN) |
| A Review on Cooperative Robotic Arms with Mobile or Drones Bases 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 536-555 作者: Larona Pitso Ramalepa; Rodrigo S. Jamisola Jr.
Adobe PDF(1192Kb)  |   收藏  |  浏览/下载:559/360  |  提交时间:2021/07/20 Cooperative arms mobile manipulator aerial manipulator mobile base drone base cooperative tasks |
| Skill Learning for Robotic Insertion Based on One-shot Demonstration and Reinforcement Learning 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 457-467 作者: Ying Li ; De Xu![](/image/person.jpg)
Adobe PDF(1450Kb)  |   收藏  |  浏览/下载:231/58  |  提交时间:2021/05/24 Force Jacobian matrix one-shot demonstration dynamic exploration strategy insertion skill learning reinforcement |