3D long time spatiotemporal convolution for complex transfer sequence prediction

3D long time spatiotemporal convolution for complex transfer sequence prediction

Abstract Spatiotemporal sequences prediction(SSP) aims to predict the future situation in a period of time based on the spatiotemporal sequences data(SSD) of historical observations. In recent years, deep learning-based models have received more attention and research in SSP tasks. However, two chal...

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Bibliographic Details
Main Authors: Qiu Yunan, Cui Yingjie, Tang Haibo, Chen Zhongfeng, Lu Zhenyu, Xue Feng
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Spatiotemporal sequence prediction
3DCNN
ConvLSTM
Spationtemporal non-stationarity
Spatiotemporal attention
Online Access:https://doi.org/10.1038/s41598-025-13828-0
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https://doi.org/10.1038/s41598-025-13828-0

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