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Coordinated control scheme for LVRT enhancement for grid-connected PV systems
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Thermo-Hydric Modeling of The Water Retention Curve Based on The Hydric Model of Van Genuchten
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Species distribution models for crop pollination: a modelling framework applied to Great Britain.
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Equilibrium Short-Rate Models vs No-Arbitrage Models: Literature Review and Computational Examples
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A Deep Learning-Enhanced Compartmental Model and Its Application in Modeling Omicron in China
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The Quest for the Best Explanation: Comparing Models and XAI Methods in Air Quality Modeling Tasks
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Agent Mental Models and Bayesian Rules as a Tool to Create Opinion Dynamics Models
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Time Series Modelling of the Caspian Kutum (Rutilus frisii) Catch Using SARIMA Model
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Modeling of injury severity of distracted driving accident using statistical and machine learning models.
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Digital Twins and AI Decision Models: Advancing Cost Modelling in Off-Site Construction
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Machine Learning Prediction of Airfoil Aerodynamic Performance Using Neural Network Ensembles
Published 2025-07-01“…The best-performing single-seed model tested (seed 0) achieves a mean absolute percentage error (MAPE) of 1.1% with an <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mrow><mi mathvariant="normal">R</mi></mrow><mrow><mn>2</mn></mrow></msup></mrow></semantics></math></inline-formula> of 0.9998 for the lift coefficient prediction and 0.57% with an <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mrow><mi mathvariant="normal">R</mi></mrow><mrow><mn>2</mn></mrow></msup></mrow></semantics></math></inline-formula> of 0.9954 for the drag coefficient prediction. …”
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