Nose shape predicts sex and ethnicity in North Indian populations, machine learning study finds
Machine learning models classified sex and ethnicity from nasal morphoscopic traits in 500 North Indian adults, with ethnicity predictions reaching ...
Tag: CatBoost
Machine learning predicts strength of nanoparticle-modified basalt fiber composites
Eight machine learning models trained on published experimental data predict the tensile and flexural strength of nanoparticle-modified basalt fiber reinforced ...
New fraud detection framework pairs machine predictions with machine-checked explanations
A new open-access study reports that a layered fraud detection framework combining verified explanations, probability calibration and cost-sensitive thresholds outperformed ...
Resistance-Based Features Boost Machine Learning Fault Detection in Power Grids
A hybrid framework that turns voltage and current measurements into resistance-based statistical features enabled Random Forest to classify electrical faults ...
Nine-feature model predicts visual impairment in Saudi diabetes cohort
A retrospective study of 1,000 Saudi patients with type 2 diabetes found that a nine-feature CatBoost model predicted visual impairment ...
Supervised meta-model improves human alignment of Arabic AI explanations
A study of 303 Arabic hotel reviews found that a supervised CatBoost meta-model matched human-selected words better than standard XAI ...
Machine learning model links urban digital and green features to city methane emissions
An ensemble of LSTM and CatBoost predicts one-year-ahead city-level methane emissions, with urban ecological and environmental quality showing the strongest ...
Simple Machine Learning Model Predicts Fluorinated Gas Capture in Ionic Liquids
A new study shows a CatBoost machine learning model with only seven simple inputs predicts fluorinated gas solubility in ionic ...
AI Framework Designs Fly Ash Geopolymer Concrete Balancing Strength, Cost and CO2
A new study combines CTGAN-generated synthetic data, hybrid machine learning, SHAP explainability, reliability analysis and multi-objective optimization to design fly ...
Hybrid machine learning improves lost-circulation prediction in small oil-field dataset
A hybrid CatBoost pipeline using synthetic sampling and optimized class weights achieved the strongest reported classification results in a 258-record ...
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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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