BikeCAP: Deep Spatial-temporal Capsule Network for Multi-step Bike Demand Prediction

被引：0
|
作者：
Zhong, Shuxin [1 ]
Lyu, Wenjun [1 ]
Zhang, Desheng [1 ]
Yang, Yu [2 ]
机构：
[1] Rutgers University, New Brunswick, United States
[2] Lehigh University, Bethlehem, United States
来源：
Proceedings - International Conference on Distributed Computing Systems | 2022年 / 2022-July卷
关键词：
Compendex;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Forecasting
引用
收藏
页码：831 / 841
相关论文
共 50 条
  • [21] Spatial-temporal transformer network for multi-year ENSO prediction
    Song, Dan
    Su, Xinqi
    Li, Wenhui
    Sun, Zhengya
    Ren, Tongwei
    Liu, Wen
    Liu, An-An
    FRONTIERS IN MARINE SCIENCE, 2023, 10
  • [22] A Multi-View Spatial-Temporal Network for Vehicle Refueling Demand Inference
    Ma, Bo
    Yang, Yating
    Zhang, Guangyi
    Zhao, Fan
    Wang, Yi
    KNOWLEDGE SCIENCE, ENGINEERING AND MANAGEMENT, KSEM 2019, PT II, 2019, 11776 : 412 - 423
  • [23] Temporal feature decomposition fusion network for building energy multi-step prediction
    Yang, Ya
    Fu, Qiming
    Chen, Jianping
    Lu, You
    Wang, Yunzhe
    Wu, Hongjie
    JOURNAL OF BUILDING ENGINEERING, 2024, 94
  • [24] Spatial-temporal memory enhanced multi-level attention network for origin-destination demand prediction
    Lu, Jiawei
    Pan, Lin
    Ren, Qianqian
    COMPLEX & INTELLIGENT SYSTEMS, 2024, 10 (05) : 6435 - 6448
  • [25] Trend modeling and multi-step taxi demand prediction
    Jiang, Shan
    Feng, Yuming
    Liao, Xiaofeng
    Onasanya, B. O.
    ITALIAN JOURNAL OF PURE AND APPLIED MATHEMATICS, 2024, (51): : 275 - 294
  • [26] Spatial-Temporal Correlation Learning for Traffic Demand Prediction
    Wu, Yiling
    Zhao, Yingping
    Zhang, Xinfeng
    Wang, Yaowei
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 25 (11) : 15745 - 15758
  • [27] Hybrid Deep Neural Network Model for Multi-Step Energy Prediction of Prosumers
    Antal, Marcel
    Toderean, Liana
    Cioara, Tudor
    Anghel, Ionut
    APPLIED SCIENCES-BASEL, 2022, 12 (11):
  • [28] Temporal Convolutions for Multi-Step Quadrotor Motion Prediction
    Looper, Samuel
    Waslander, Steven L.
    2022 19TH CONFERENCE ON ROBOTS AND VISION (CRV 2022), 2022, : 32 - 39
  • [29] Attention-based Multi-step Short-term Passenger Flow Spatial-temporal Integrated Prediction Model in URT Systems
    Zhang J.
    Chen Y.
    Panchamy K.
    Jin G.
    Wang C.
    Yang L.
    Journal of Geo-Information Science, 2023, 25 (04) : 668 - 713
  • [30] A multi-feature spatial-temporal fusion network for traffic flow prediction
    Yan, Jiahe
    Li, Honghui
    Zhang, Dalin
    Bai, Yanhui
    Xu, Yi
    Han, Chengshan
    SCIENTIFIC REPORTS, 2024, 14 (01):
12345