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...

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Bibliografske podrobnosti

Principais autores:	Almas Alzhanov, Aliya Nugumanova, Ibrahim Demir
Format:	Artigo
Jezik:	Inglês
Izdano:	IEEE 2026-01-01
Serija:	IEEE Access
Teme:	Multitask learning transfer learning LSTM streamflow prediction
Online dostop:	https://ieeexplore.ieee.org/document/11573887/
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