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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：274/66  |  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：321/56  |  提交时间：2021/05/24
Deep learning  visual tracking  data-invariant  data-adaptive  general components  
Fire Detection Method Based on Depthwise Separable Convolution and YOLOv3 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 300-310
作者:  Yue-Yan Qin;  Jiang-Tao Cao;  Xiao-Fei Ji
Adobe PDF(2289Kb)  |  收藏  |  浏览/下载：277/68  |  提交时间：2021/04/22
Fire detection  depthwise separable convolution  fire classification  You Only Look Once version 3 (YOLOv3)  target regression  
Prediction of Spatiotemporal Evolution of Urban Traffic Emissions Based on Taxi Trajectories 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 219-232
作者:  Zhen-Yi Zhao;  Yang Cao;  Yu Kang;  Zhen-Yi Xu
Adobe PDF(1649Kb)  |  收藏  |  浏览/下载：168/64  |  提交时间：2021/04/22
Vehicle emission prediction  spatiotemporal gragh convolution  GPS trajectories  motor vehicle emission simulator (MOVES) model  feature sharing  
fMRI-based Decoding of Visual Information from Human Brain Activity: A Brief Review 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 170-184
作者:  Shuo Huang;  Wei Shao;  Mei-Ling Wang;  Dao-Qiang Zhang
Adobe PDF(4328Kb)  |  收藏  |  浏览/下载：186/52  |  提交时间：2021/04/22
Functional magnetic resonance imaging (fMRI)  functional alignment  brain activity, brain decoding  visual stimuli reconstruction  
A Survey on Deep Learning-based Fine-grained Object Classification and Semantic Segmentation 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 2, 页码: 119-135
作者:  Bo Zhao;  Jiashi Feng;  Xiao Wu;  Shuicheng Yan
浏览  |  Adobe PDF(5409Kb)  |  收藏  |  浏览/下载：204/50  |  提交时间：2021/02/23
Deep learning  fine-grained image classi¯cation  semantic segmentation  convolutional neural network (CNN)  recurrent neural network (RNN).  
An Overview of Contour Detection Approaches 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 6, 页码: 656-672
作者:  Xin-Yi Gong;  Hu Su;  De Xu;  Zheng-Tao Zhang;  Fei Shen;  Hua-Bin Yang
浏览  |  Adobe PDF(1828Kb)  |  收藏  |  浏览/下载：292/101  |  提交时间：2021/02/23
Contour detection  contour salience  gestalt principle  contour grouping  active contour.  
STEP-based Feature Recognition System for B-spline Surface Features 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 4, 页码: 500-512
作者:  Bitla Venu;  Venkateswara Rao Komma;  Deepanshu Srivastava
浏览  |  Adobe PDF(959Kb)  |  收藏  |  浏览/下载：173/72  |  提交时间：2021/02/23
Feature recognition  3D computer aided design (CAD) model  geometrical information  standard for the exchange of product model data (STEP) AP203  Java standard data access interface (JSDAI).  
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：137/47  |  提交时间：2021/02/23
Autonomous vehicle  scene understanding  event reasoning  intention prediction  scene representation.  
A Wide Learning Approach for Interpretable Feature Recommendation for 1-D Sensor Data in IoT Analytics 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 800-811
作者:  Snehasis Banerjee;  Tanushyam Chattopadhyay;  Utpal Garain
浏览  |  Adobe PDF(891Kb)  |  收藏  |  浏览/下载：261/69  |  提交时间：2021/02/22
Feature engineering  sensor data analysis  Internet of things (IoT) analytics  interpretable learning  automation.