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| Data Augmentation and Deep Neuro-fuzzy Network for Student Performance Prediction with MapReduce Framework 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 981-992 作者: Amlan Jyoti Baruah; Siddhartha Baruah
Adobe PDF(1583Kb)  |   收藏  |  浏览/下载:204/50  |  提交时间:2021/11/26 Educational data mining (EDA) MapReduce framework deep neuro-fuzzy network student performance data augmentation |
| A Signal Based “W” Structural Elements for Multi-scale Mathematical Morphology Analysis and Application to Fault Diagnosis of Rolling Bearings of Wind Turbines 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 993-1006 作者: Qiang Li ; Yong-Sheng Qi; Xue-Jin Gao; Yong-Ting Li; Li-Qiang Liu
Adobe PDF(1828Kb)  |   收藏  |  浏览/下载:197/52  |  提交时间:2021/11/26 Fault diagnosis structural element multi-scale mathematical morphology rolling bearing correlation analysis |
| 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:177/40  |  提交时间:2021/11/26 Retina vessel segmentation deep learning U-Net attention mechanism medical image |
| 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![](/image/person.jpg)
Adobe PDF(1905Kb)  |   收藏  |  浏览/下载:218/48  |  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:234/49  |  提交时间:2021/11/26 Abdominal organ, supervised segmentation semi-supervised segmentation evaluation metrics image segmentation machine learning |
| Dynamic Event-triggered Control and Estimation: A Survey 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 857-886 作者: Xiaohua Ge; Qing-Long Han; Xian-Ming Zhang ; Derui Ding
Adobe PDF(3887Kb)  |   收藏  |  浏览/下载:215/40  |  提交时间:2021/11/26 Networked systems dynamic event-triggered control dynamic event-triggered estimation dynamic event-triggered mechanisms vehicle active suspension system water distribution and supply system |
| 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:237/55  |  提交时间:2021/09/13 On-board equipment fault classification capsule network attention mechanism focal loss |
| A Fast Vision-inertial Odometer Based on Line Midpoint Descriptor 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 667-669 作者: Wen-Kuan Li; Hao-Yuan Cai; Sheng-Lin Zhao; Ya-Qian Liu; Chun-Xiu Liu
Adobe PDF(10350Kb)  |   收藏  |  浏览/下载:189/44  |  提交时间:2021/07/20 High efficiency visual-inertial odometry (VIO) non-linear optimization points and lines sliding window |
| 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 |
| 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:512/348  |  提交时间:2021/07/20 Cooperative arms mobile manipulator aerial manipulator mobile base drone base cooperative tasks |