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Research on the carbon emissions traceability inventory and multi-horizon prediction of ship carbon emissions: a case study of Tianjin Port 期刊论文
FRONTIERS IN MARINE SCIENCE, 2023, 卷号: 10, 页码: 19
作者:  Li, Yong;  Xie, Wenxin;  Yang, Yang;  Mei, Qiang;  Wang, Zhishan;  Li, Zhaoxuan;  Wang, Peng
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
ship pollutant  carbon emissions inventory  Tianjin Port  AIS  transformer  forecast CO2 emissions  
Incorporating NODE with pre-trained neural differential operator for learning dynamics 期刊论文
NEUROCOMPUTING, 2023, 卷号: 528, 页码: 48-58
作者:  Gong, Shiqi;  Meng, Qi;  Wang, Yue;  Wu, Lijun;  Chen, Wei;  Ma, Zhiming;  Liu, Tie-Yan
收藏  |  浏览/下载：14/0  |  提交时间：2023/07/12
Neural ODE  Learning dynamics  Neural operator  
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：13/0  |  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  
Multi-featured spatial-temporal and dynamic multi-graph convolutional network for metro passenger flow prediction 期刊论文
CONNECTION SCIENCE, 2022, 卷号: 34, 期号: 1, 页码: 1252-1272
作者:  Zhao, Chuan;  Li, Xin;  Shao, Zezhi;  Yang, HongJi;  Wang, Fei
收藏  |  浏览/下载：32/0  |  提交时间：2022/12/07
Metro passenger flow prediction  deep learning  multi-featured spatial-temporal tensor  dynamic multi-graph neural network  
Spatial-temporal modeling for prediction of stylized human motion 期刊论文
NEUROCOMPUTING, 2022, 卷号: 511, 页码: 34-42
作者:  Zhong, Chongyang;  Hu, Lei;  Xia, Shihong
收藏  |  浏览/下载：13/0  |  提交时间：2023/07/12
stylized motion  transformer  human motion prediction  spatial-temporal modeling  constant variance GMM  
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：13/0  |  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：14/0  |  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：29/0  |  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  
Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting 期刊论文
PROCEEDINGS OF THE VLDB ENDOWMENT, 2022, 卷号: 15, 期号: 11, 页码: 2733-2746
作者:  Shao, Zezhi;  Zhang, Zhao;  Wei, Wei;  Wang, Fei;  Xu, Yongjun;  Cao, Xin;  Jensen, Christian S.
收藏  |  浏览/下载：10/0  |  提交时间：2023/12/04
A Hierarchical Spatial-Temporal Embedding Method Based on Enhanced Trajectory Features for Ship Type Classification 期刊论文
SENSORS, 2022, 卷号: 22, 期号: 3, 页码: 16
作者:  Sun, Tao;  Xu, Yongjun;  Zhang, Zhao;  Wu, Lin;  Wang, Fei
收藏  |  浏览/下载：18/0  |  提交时间：2022/12/07
ship classification  spatial-temporal embedding  feature enhancement  deep learning  attention