Machine learning reveals when changing shot direction pays off in elite tennis
A machine learning framework analysing 33,975 strokes from Grand Slam men's singles matches shows that the tactical value of redirecting ...
Tag: XGBoost
Machine learning steers biomass carbon cathodes to stronger zinc-ion supercapacitors
A machine learning model built on eight material descriptors predicted the specific capacity of nitrogen-doped porous carbon cathodes for zinc-ion ...
Machine Learning Maps Three Fatigue Subgroups in Breast Cancer Patients
A cross-sectional study of 1,005 breast cancer patients identified three fatigue subgroups and found perceived stress, depression, and self-compassion were ...
Machine Learning Surrogates Predict Wing Aerodynamics and Stress in Seconds
Researchers built regressor chain surrogate models that predict pressure and stress fields across varied wing planforms with modest prediction errors ...
TyG-CVAI Index Tops Rivals in Predicting Advanced Kidney-Heart-Metabolic Disease
A prospective community-based cohort study in Yulin, China, found that the TyG-CVAI index outperformed nine other TyG-derived indices in predicting ...
Machine learning model predicts early pregnancy loss after IVF using five routine clinical markers
A retrospective cohort study developed an XGBoost model using five routine clinical indicators to estimate early pregnancy loss risk after ...
Machine learning model predicts peak ACL force during side-cutting maneuvers
Researchers trained an interpretable XGBoost model on biomechanical data from 204 male athletes to predict peak ACL force during side-cutting ...
Machine Learning Falls Short at Predicting Robot Arm Contact Forces
A cross-validated evaluation of eight regression algorithms on an 18-disk continuum robot arm finds that geometric features alone yield near-zero ...
AI Reads Four Molars From CBCT Scans to Estimate Adult Age Within 2.5 Years
A study of 2,000 CBCT scans found that an XGBoost model using tooth-specific pulp-dentin index values from all four first ...
AI Learns to Predict Ultra-Strong Recycled Concrete Strength from Tiny Datasets
A machine learning framework combining a small experimental dataset with 300 VAE-generated synthetic mixes predicts the compressive strength of recycled-concrete-powder ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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