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

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Detalles Bibliográficos
Publicado en:	Remote Sensing vol. 17, no. 1 (2025), p. 77
Autor principal:	Jiang, Jiange
Otros Autores:	Chen, Chen, Lackinger, Anna, Li, Huimin, Li, Wan, Qingqi Pei, Dustdar, Schahram
Publicado:	MDPI AG
Materias:	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
Acceso en línea:	Citation/Abstract Full Text + Graphics Full Text - PDF
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