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SE-MAConvLSTM: A deep learning framework for short-term traffic flow prediction combining Squeeze-and-Excitation Network and Multi-Attention Convolutional LSTM Network
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Rong Zhu,
Roles Investigation, Methodology, Resources, Validation, Visualization
Affiliation School of Modern Information Industry, Guangzhou College of Commerce, Guangzhou, China
⨯ - Jie Tang,
- Xuansen He,
- Xianlai Zhou ,
- Xiaohui Huang,
- Fengyun Wu,
- Songli Chen
https://orcid.org/0009-0003-2014-7296
SE-MAConvLSTM: A deep learning framework for short-term traffic flow prediction combining Squeeze-and-Excitation Network and Multi-Attention Convolutional LSTM Network
- Rong Zhu,
- Jie Tang,
- Xuansen He,
- Xianlai Zhou,
- Xiaohui Huang,
- Fengyun Wu,
- Songli Chen
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- Published: December 5, 2024
- https://doi.org/10.1371/journal.pone.0312601