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• 地理科学与资源研究... [13]
• 数学与系统科学研究院 [9]
• 计算技术研究所 [3]
• 长春光学精密机械与物... [1]
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• OAI收割 [32]

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• 期刊论文 [19]
• SCI/SSCI论文 [9]
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• 2024 [2]
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浏览/检索结果: 共32条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 DMGSTCN: Dynamic Multigraph Spatio-Temporal Convolution Network for Traffic Forecasting 期刊论文  OAI收割 IEEE INTERNET OF THINGS JOURNAL, 2024, 卷号: 11, 期号: 12, 页码: 22208-22219 作者:  Qin, Yanjun;  Tao, Xiaoming;  Fang, Yuchen;  Luo, Haiyong;  Zhao, Fang   |  收藏  |  浏览/下载：12/0  |  提交时间：2024/12/06 Time series analysis  Convolution  Forecasting  Correlation  Task analysis  Roads  Predictive models  Graph convolution network (GCN)  spatial-temporal data  traffic forecasting   STWave+: A Multi-Scale Efficient Spectral Graph Attention Network With Long-Term Trends for Disentangled Traffic Flow Forecasting 期刊论文  OAI收割 IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2024, 卷号: 36, 期号: 6, 页码: 2671-2685 作者:  Fang, Yuchen;  Qin, Yanjun;  Luo, Haiyong;  Zhao, Fang;  Zheng, Kai   |  收藏  |  浏览/下载：4/0  |  提交时间：2024/12/06 Market research  Forecasting  Roads  Time series analysis  Sensors  Correlation  Encoding  Contrastive learning  graph attention network  spatio-temporal data  traffic forecasting   Spatio-temporal heterogeneous graph using multivariate earth observation time series: Application for drought forecasting 期刊论文  OAI收割 COMPUTERS & GEOSCIENCES, 2023, 卷号: 179, 页码: 13 作者:  Balti, Hanen;  Ben Abbes, Ali;  Sang, Yanfang;  Mellouli, Nedra;  Farah, Imed Riadh   |  收藏  |  浏览/下载：26/0  |  提交时间：2023/10/16 Heterogeneous graphs  Spatiotemporal data  Multivariate time series  Earth observation data  Drought forecasting   Multiple Markov Chains for Categorial Drought Prediction on the US Drought Monitor at Weekly Scale 期刊论文  OAI收割 JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 2023, 卷号: 62, 期号: 10, 页码: 1415-1435 作者:  Cao, Junjun;  Guan, Fu;  Zhang, Xiang;  Nam, Won-ho;  Leng, Guoyong   |  收藏  |  浏览/下载：26/0  |  提交时间：2023/12/07 Drought  Statistical techniques  Time series  Short-range prediction  Statistical forecasting   Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals 期刊论文  OAI收割 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：17/0  |  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   Short-term load forecasting with an improved dynamic decomposition-reconstruction-ensemble approach 期刊论文  OAI收割 ENERGY, 2023, 卷号: 263, 页码: 16 作者:  Yang, Dongchuan;  Guo, Ju-e;  Li, Yanzhao;  Sun, Shaolong;  Wang, Shouyang   |  收藏  |  浏览/下载：38/0  |  提交时间：2023/02/07 Short -term load forecasting  Time series modeling  Dynamic decomposition-reconstruction tech  nique  Neural networks   Model averaging for interval-valued data 期刊论文  OAI收割 EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2022, 卷号: 301, 期号: 2, 页码: 772-784 作者:  Sun, Yuying;  Zhang, Xinyu;  Wan, Alan T. K.;  Wang, Shouyang   |  收藏  |  浏览/下载：33/0  |  提交时间：2023/02/07 Forecasting  Asymptotic optimality  Interval-valued time series  Model averaging  Vector autoregression   A New Two-Stage Approach with Boosting and Model Averaging for Interval-Valued Crude Oil Prices Forecasting in Uncertainty Environments 期刊论文  OAI收割 FRONTIERS IN ENERGY RESEARCH, 2021, 卷号: 9, 页码: 11 作者:  Huang, Bai;  Sun, Yuying;  Wang, Shouyang   |  收藏  |  浏览/下载：28/0  |  提交时间：2022/04/02 crude oil prices forecasting  forecast combination  interval-valued time series  model averaging  vector L2-boosting   A Neural Networks Based Method for Multivariate Time-Series Forecasting 期刊论文  OAI收割 IEEE ACCESS, 2021, 卷号: 9 作者:  Li, Shaowei;  Huang, He;  Lu, Wei   |  收藏  |  浏览/下载：24/0  |  提交时间：2021/05/17 Time series analysis  Data models  Predictive models  Neural networks  Forecasting  Computational modeling  Recurrent neural networks  Multivariate time series  autoregressive models  convolutional neural network  recurrent neural network   A decomposition-ensemble approach for tourism forecasting 期刊论文  OAI收割 ANNALS OF TOURISM RESEARCH, 2020, 卷号: 81, 页码: 16 作者:  Xie, Gang;  Qian, Yatong;  Wang, Shouyang   |  收藏  |  浏览/下载：17/0  |  提交时间：2020/06/30 Tourism demand  Complete ensemble empirical mode decomposition with adaptive noise  Data characteristic analysis  Time series forecasting