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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：167/38  |  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：197/30  |  提交时间：2021/11/26
Light weight  image classification  channel attention  efficient convolution  object detection  
Research on Voiceprint Recognition of Camouflage Voice Based on Deep Belief Network 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 947-962
作者:  Nan Jiang;  Ting Liu
Adobe PDF(1905Kb)  |  收藏  |  浏览/下载：206/46  |  提交时间：2021/11/26
Disguised voice recognition  deep belief network  feature extraction  Gammatone frequency cepstrum coefficients (GFCC)  dropout  
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：221/48  |  提交时间：2021/11/26
Abdominal organ, supervised segmentation  semi-supervised segmentation  evaluation metrics  image segmentation  machine learning  
Simultaneous Stabilization of Port-Hamiltonian Systems Subject to Actuation Saturation and Input Delay 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 849-854
作者:  Liang-Cheng Cai
Adobe PDF(2197Kb)  |  收藏  |  浏览/下载：206/37  |  提交时间：2021/09/13
Port-Hamiltonian system (PH)  simultaneous stabilization  actuator saturation  input delay  Lyapunov-Krasovskii function  
Fault Classification for On-board Equipment of High-speed Railway Based on Attention Capsule Network 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 814-825
作者:  Lu-Jie Zhou;  Jian-Wu Dang;  Zhen-Hai Zhan
Adobe PDF(1208Kb)  |  收藏  |  浏览/下载：224/52  |  提交时间：2021/09/13
On-board equipment  fault classification  capsule network  attention mechanism  focal loss  
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：184/48  |  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  
A 2D Mapping Method Based on Virtual Laser Scans for Indoor Robots 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 747-765
作者:  Xu-Yang Shao;  Guo-Hui Tian;  Ying Zhang
Adobe PDF(2637Kb)  |  收藏  |  浏览/下载：208/44  |  提交时间：2021/09/13
2D mapping  indoor robots  virtual laser  mapping auxiliary strategies  safe navigation  
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：192/46  |  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  
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：113/12  |  提交时间：2021/09/03
Deep neural networks  formation control  multiple fish-like robots  pose estimation  pose tracking