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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 |
| 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 |
| Fault Information Recognition for On-board Equipment of High-speed Railway Based on Multi-neural Network Collaboration 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 935-946
作者: Lu-Jie Zhou; Jian-Wu Dang; Zhen-Hai Zhang
Adobe PDF(1263Kb) | 收藏 | 浏览/下载：212/46 | 提交时间：2021/11/26
Train control system Chinese named entity recognition (NER) character feature gating mechanism bidirectional long short-term memory (BiLSTM) |
| 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 |
| 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：269/39 | 提交时间：2021/05/24
Deep learning visual tracking data-invariant data-adaptive general components |
| Why and When Can Deep-but Not Shallow-networks Avoid the Curse of Dimensionality: A Review 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 5, 页码: 503-519
作者: Tomaso Poggio; Hrushikesh Mhaskar; Lorenzo Rosasco; Brando Miranda; Qianli Liao
 浏览 | Adobe PDF(1711Kb) | 收藏 | 浏览/下载：190/29 | 提交时间：2021/02/23
Deep learning fine-grained image classification semantic segmentation convolutional neural network (CNN) recurrent neural network (RNN). |
| A Survey of Scene Understanding by Event Reasoning in Autonomous Driving 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 3, 页码: 249-266
作者: Jian-Ru Xue; Jian-Wu Fang; Pu Zhang
浏览 | Adobe PDF(2242Kb) | 收藏 | 浏览/下载：109/38 | 提交时间：2021/02/23
Autonomous vehicle scene understanding event reasoning intention prediction scene representation. |
| Integration of Facial Thermography in EEG-based Classification of ASD 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 6, 页码: 837-854
作者: Dilantha Haputhanthri; Gunavaran Brihadiswaran; Sahan Gunathilaka; Dulani Meedeniya; Sampath Jayarathna; Mark Jaime; Christopher Harshaw
浏览 | Adobe PDF(1617Kb) | 收藏 | 浏览/下载：206/60 | 提交时间：2021/02/22
Autism spectrum disorder facial thermography EEG signal processing machine learning decision support system ASDGenus. |
| An Integrated MCI Detection Framework Based on Spectral-temporal Analysis 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 786-799
作者: Jiao Yin; Jinli Cao; Siuly Siuly; Hua Wang
浏览 | Adobe PDF(2203Kb) | 收藏 | 浏览/下载：159/45 | 提交时间：2021/02/22
Electroencephalogram (EEG) dementia early detection mild cognitive impairment (MCI) stationary wavelet transformation (SWT) support vector machine (SVM). |
| Transfer Hierarchical Attention Network for Generative Dialog System 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 720-736
作者: Xiang Zhang; Qiang Yang
浏览 | Adobe PDF(1145Kb) | 收藏 | 浏览/下载：85/28 | 提交时间：2021/02/22
Dialog system transfer learning deep learning natural language processing (NLP) artificial intelligence. |
