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

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Pubblicato in:Remote Sensing vol. 17, no. 1 (2025), p. 77
Autore principale: Jiang, Jiange
Altri autori: Chen, Chen, Lackinger, Anna, Li, Huimin, Li, Wan, Qingqi Pei, Dustdar, Schahram
Pubblicazione:
MDPI AG
Soggetti:
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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