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Evaluating empirical and machine learning approaches for reference evapotranspiration estimation using limited climatic variables in Nepal
Published 2025-03-01“…We assessed the performance of six widely used empirical models (Hargreaves Samani, modified Hargreaves Samani, Romanenko, Schendel, Priestley-Taylor, and Makkink) and four ML models (random forest, extreme gradient boosting, deep neural network, and long short-term memory) to estimate ET0 with limited climatic variables in Nepal. …”
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The ENIGMA-Neuromodulation working group – A mission statement
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An emerging role for neutrophils in the pathogenesis of endometriosis
Published 2025-02-01Get full text
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