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Integrating multi-task learning with a differentiable physics constrained framework for hydrological forecasting
Article
Article
Integrating multi-task learning with a differentiable physics constrained framework for hydrological forecasting
Yuguang Yan et al · Nature Portfolio · 2026 · ISSN 2045-2322
Abstract Accurate prediction of terrestrial water cycle variables like soil moisture (SM) and evapotranspiration (ET) is crucial, yet existing Deep Learning (DL) models face limitations. Many adopt Single-Task Learning (...
LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma English
Acceso abiertoRuta libre sin proxy. Acceso recomendado cuando no hay suscripción activa.
Open Access
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Metaheuristic-enhanced deep learning for monthly pan evaporation prediction under limited climatic data
Article
Article
Metaheuristic-enhanced deep learning for monthly pan evaporation prediction under limited climatic data
Ozgur Kisi et al · Nature Portfolio · 2026 · ISSN 2045-2322
Abstract This study introduces two recently developed bio-inspired metaheuristic algorithms, Artificial Protozoa Optimizer (APO, 2024) and Dung Beetle Optimizer (DBO, 2023), into long short-term memory (LSTM) networks fo...
LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma English
El enlace apunta a material asociado, anexos, tablas, datos o página complementaria. No se marca como libro/texto completo.
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Integrated technological governance and ecosystem based strategies for irrigation system resilience under climate change a systematic review
Article
Article
Integrated technological governance and ecosystem based strategies for irrigation system resilience under climate change a systematic review
Iman Hajirad et al · Springer · 2026 · ISSN 2731-9431
Abstract Climate change poses significant strain on global water supplies, necessitating robust adaptive measures in irrigated agriculture to ensure food security. Adhering to PRISMA guidelines, this study provides a sys...
LCC TENDOkVudmlyb25tZW50YWwgc2NpZW5jZXM~Idioma English
Acceso institucional disponibleEl acceso puede requerir institución, suscripción, proxy, VPN o autenticación.
Institucional
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An interpretable adaptive mountain flood forecasting agent model framework based on multi-source terrain data
Article
Article
An interpretable adaptive mountain flood forecasting agent model framework based on multi-source terrain data
Miao Xiao et al · Taylor & Francis Group · 2026 · ISSN 1994-2060
Climate change and human impact are increasing the frequency and severity of flooding, making real-time, accurate simulation of mountainous flood inundation an urgent necessity. In this study, we developed a proxy model ...
LCC LCC:Engineering (General). Civil engineering (General)Idioma English
El enlace apunta a material asociado, anexos, tablas, datos o página complementaria. No se marca como libro/texto completo.
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