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

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Bibliographische Detailangaben
Veröffentlicht in:	Remote Sensing vol. 17, no. 1 (2025), p. 77
1. Verfasser:	Jiang, Jiange
Weitere Verfasser:	Chen, Chen, Lackinger, Anna, Li, Huimin, Li, Wan, Qingqi Pei, Dustdar, Schahram
Veröffentlicht:	MDPI AG
Schlagworte:	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
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