MetaTrans-FSTSF: A Transformer-Based Meta-Learning Framework for Few-Shot Time Series Forecasting in Flood Prediction

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Detalhes bibliográficos
Publicado no:	Remote Sensing vol. 17, no. 1 (2025), p. 77
Autor principal:	Jiang, Jiange
Outros Autores:	Chen, Chen, Lackinger, Anna, Li, Huimin, Li, Wan, Qingqi Pei, Dustdar, Schahram
Publicado em:	MDPI AG
Assuntos:	Flood forecasting Scarcity Accuracy Flood management Water resources management Deep learning Datasets Internet of Things Pattern recognition Task complexity Hydrology Weather forecasting Machine learning Time series Climate change Floods Adaptability Catchment areas Resource management Emergency preparedness Artificial intelligence Computer vision Predictions Neural networks Effectiveness Emergency communications systems Impact prediction Decision making Flood predictions
Acesso em linha:	Citation/Abstract Full Text + Graphics Full Text - PDF
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