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A Comprehensive Ensemble Model for Marine Atmospheric Boundary-Layer Prediction in Meteorologically Sparse and Complex Regions: A Case Study in the South China Sea
Published 2025-06-01“…The SOEM outperformed random forest, extreme gradient boosting, and histogram-based gradient boosting models, achieving a robustness coefficient (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula>) of 0.95 and the lowest mean absolute error of 32 m under the clear/slightly cloudy condition. …”
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Cooling Load Prediction via Support Vector Regression in Individual and Hybrid Approaches
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Predicting Student Performance through Machine Learning Methods: Naive Bayesian Classifier
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Prediction of Middle School Students’ Recycling Behaviors with Machine Learning Algorithms
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Prediction of parison formation using process data in extrusion blow molding
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Predicting the presence of adjacent septic arthritis in children with acute hematogenous osteomyelitis
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Fruit size prediction of tomato cultivars using machine learning algorithms
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Predicting Performance of Hall Effect Ion Source Using Machine Learning
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A Machine Learning Approach to Explore and Predict Student Motivation Types
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Personality Trait Prediction From Facial Sketch Leveraged by Expression Muscles
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Error prediction determines the coordinate system used for the representation of novel dynamics
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Streamflow prediction using artificial neural networks and soil moisture proxies
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Longitudinal prediction of positive and negative mental health in Germany, Russia, and China.
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