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Dual Memory LSTM with Dual Attention Neural Network for Spatiotemporal Prediction
Spatiotemporal prediction is challenging due to extracting representations being inefficient and the lack of rich contextual dependences. A novel approach is proposed for spatiotemporal prediction using a dual memory LSTM with dual attention neural network (DMANet). A new dual memory LSTM (DMLSTM) u...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8235486/ https://www.ncbi.nlm.nih.gov/pubmed/34205796 http://dx.doi.org/10.3390/s21124248 |