A Multitask Transfer Learning Framework for LSTM-Based Streamflow Forecasting

Reliable streamflow forecasting supports a wide range of water-management decisions, from flood warning to long-term water resource planning. In snow-influenced basins, forecast performance depends on accurately representing seasonal snow accumulation and melting. Transfer learning and multitask lea...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Almas Alzhanov, Aliya Nugumanova, Ibrahim Demir
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2026-01-01
Edice:	IEEE Access
Témata:	Multitask learning transfer learning LSTM streamflow prediction
On-line přístup:	https://ieeexplore.ieee.org/document/11573887/
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!