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

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Publié dans:	Remote Sensing vol. 17, no. 1 (2025), p. 77
Auteur principal:	Jiang, Jiange
Autres auteurs:	Chen, Chen, Lackinger, Anna, Li, Huimin, Li, Wan, Qingqi Pei, Dustdar, Schahram
Publié:	MDPI AG
Sujets:	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
Accès en ligne:	Citation/Abstract Full Text + Graphics Full Text - PDF
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