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Exploring the Side Information Fusion Method with Spatial-temporal Model for Taxi Demand Prediction 会议论文
, 中国 厦门, 2020-7-24
作者:  Jia Mou;  Yu Liu;  Dongchang Liu
Adobe PDF(853Kb)  |  收藏  |  浏览/下载：188/57  |  提交时间：2021/05/27
SideInfo-STNet  Spatial-temporal data  Taxi demand prediction  Deep learning  
Differential Time-variant Traffic Flow Prediction Based on Deep Learning 会议论文
, Rhodes, Greece, 20-23 Sept. 2020
作者:  Wei, Zhang;  Fenghua, Zhu;  Yuanyuan, Chen;  Xiao, Wang;  Gang, Xiong;  Fei-Yue, Wang
Adobe PDF(795Kb)  |  收藏  |  浏览/下载：262/65  |  提交时间：2021/05/27
High-speed rail pole number recognition through deep representation and temporal redundancy 期刊论文
NEUROCOMPUTING, 2020, 卷号: 415, 页码: 201-214
作者:  Yang, Yang;  Zhang, Wensheng;  He, Zewen;  Li, Ding
Adobe PDF(2751Kb)  |  收藏  |  浏览/下载：298/54  |  提交时间：2021/01/07
Region-based convolutional neural network  Context information  Object detection  Number recognition  Pole number  High-speed rail  
Differential Time-variant Traffic Flow Prediction Based on Deep Learning 会议论文
, Rhodes, Greece, September 20-23, 2020
作者:  Wei Zhang;  Fenghua Zhu;  Yuanyuan Chen;  Xiao Wang;  Gang Xiong;  Fei-Yue Wang
浏览  |  Adobe PDF(801Kb)  |  收藏  |  浏览/下载：299/92  |  提交时间：2020/10/20
A Deep Nonnegative Matrix Factorization Approach via Autoencoder for Nonlinear Fault Detection 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 卷号: 16, 期号: 8, 页码: 5042-5052
作者:  Ren, Zelin;  Zhang, Wensheng;  Zhang, Zhizhong
Adobe PDF(2122Kb)  |  收藏  |  浏览/下载：339/52  |  提交时间：2020/07/06
data-driven fault detection  deep autoencoder  nonlinear industrial process  nonnegative matrix factorization (NMF)  
Anomaly Detection Using Local Kernel Density Estimation and Context-Based Regression 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2020, 卷号: 32, 期号: 2, 页码: 218-233
作者:  Hu, Weiming;  Gao, Jun;  Li, Bing;  Wu, Ou;  Du, Junping;  Maybank, Stephen
收藏  |  浏览/下载：292/0  |  提交时间：2020/03/30
Anomaly detection  Kernel  Estimation  Saliency detection  Visualization  Data models  Computational modeling  Anomaly detection  local kernel density estimation  weighted neighborhood density  hierarchical context-based local kernel regression