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Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 卷号: 35, 期号: 2, 页码: 2118-2132
作者:  Zhang, Yuxin;  Chen, Yiqiang;  Wang, Jindong;  Pan, Zhiwen
收藏  |  浏览/下载：11/0  |  提交时间：2023/07/12
Anomaly detection  Predictive models  Data models  Autoregressive processes  Image reconstruction  Forecasting  Computational modeling  Unsupervised anomaly detection  multi-sensor time series  convolutional autoencoder  attention based BiLSTM  
A New Feature Based Deep Attention Sales Forecasting Model for Enterprise Sustainable Development 期刊论文
SUSTAINABILITY, 2022, 卷号: 14, 期号: 19, 页码: 18
作者:  Huang, Jian;  Chen, Qinyu;  Yu, Chengqing
收藏  |  浏览/下载：12/0  |  提交时间：2023/07/12
enterprise sustainable development  E-commerce  sales forecasting  feature engineering  deep learning  attention mechanism  
A dynamic ensemble deep deterministic policy gradient recursive network for spatiotemporal traffic speed forecasting in an urban road network 期刊论文
DIGITAL SIGNAL PROCESSING, 2022, 卷号: 129, 页码: 16
作者:  Mi, Xiwei;  Yu, Chengqing;  Liu, Xinwei;  Yan, Guangxi;  Yu, Fuhao;  Shang, Pan
收藏  |  浏览/下载：11/0  |  提交时间：2023/07/12
Spatiotemporal traffic speed forecasting  Deep deterministic policy gradient  Simple recursive network  Temporal convolution network  
Learning All Dynamics: Traffic Forecasting via Locality-Aware Spatio-Temporal Joint Transformer 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 14
作者:  Fang, Yuchen;  Zhao, Fang;  Qin, Yanjun;  Luo, Haiyong;  Wang, Chenxing
收藏  |  浏览/下载：27/0  |  提交时间：2022/12/07
Forecasting  Correlation  Convolution  Roads  Transformers  Predictive models  Task analysis  Traffic forecasting  spatio-temporal joint transformer  diffusion convolution network  
Augmented Multi-Component Recurrent Graph Convolutional Network for Traffic Flow Forecasting 期刊论文
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2022, 卷号: 11, 期号: 2, 页码: 17
作者:  Zhang, Chi;  Zhou, Hong-Yu;  Qiu, Qiang;  Jian, Zhichun;  Zhu, Daoye;  Cheng, Chengqi;  He, Liesong;  Liu, Guoping;  Wen, Xiang;  Hu, Runbo
收藏  |  浏览/下载：18/0  |  提交时间：2022/12/07
traffic flow forecasting  spatial-temporal prediction  graph convolutional networks  augmented multi-component  
ADST: Forecasting Metro Flow Using Attention-Based Deep Spatial-Temporal Networks with Multi-Task Learning 期刊论文
SENSORS, 2020, 卷号: 20, 期号: 16, 页码: 23
作者:  Jia, Hongwei;  Luo, Haiyong;  Wang, Hao;  Zhao, Fang;  Ke, Qixue;  Wu, Mingyao;  Zhao, Yunyun
收藏  |  浏览/下载：48/0  |  提交时间：2020/12/10
forecasting passenger flow  spatiotemporal networks  multi-task learning  attention mechanism  spatiotemporal dependency  
Urban traffic information service application grid 期刊论文
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2005, 卷号: 20, 期号: 1, 页码: 134
作者:  Jiang CJ;  Zhang ZH;  Zeng GS;  Chen HZ;  Miao DQ;  Fang Y;  Tao XF;  Zhi Q;  Yue F;  Luo Y;  Zhou AQ;  Chen L;  Liu L
收藏  |  浏览/下载：4/0  |  提交时间：2023/12/04
PARALLEL TABU SEARCH  application grid  data integration  optimum dynamic path  route status forecasting  traffic information service