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

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Bibliografiset tiedot
Julkaisussa:	Remote Sensing vol. 17, no. 1 (2025), p. 77
Päätekijä:	Jiang, Jiange
Muut tekijät:	Chen, Chen, Lackinger, Anna, Li, Huimin, Li, Wan, Qingqi Pei, Dustdar, Schahram
Julkaistu:	MDPI AG
Aiheet:	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
Linkit:	Citation/Abstract Full Text + Graphics Full Text - PDF
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