Machine Learning Reveals Hidden Drivers of Drought on the Tibetan Plateau
A new XGBoost-SHAP analysis of five decades of data shows that elevation and the temporal concentration of rainfall, not total ...
Tag: XGBoost
Attention-Powered AI Reads Landsat 9 to Map Soil Carbon With New Precision
Chinese researchers have developed an attention-based stacking ensemble that reads Landsat 9 imagery to predict soil organic carbon more accurately ...
AI Model Reads Fuel Molecules to Predict Octane and Design New Blends
Researchers in China have developed an interpretable multimodal AI framework that predicts the research octane number of pure compounds and ...
Smart Feature Selection Slashes Data Needs for Evapotranspiration Prediction
A hybrid machine learning framework combining seven feature selection methods with XGBoost achieves near-perfect daily reference evapotranspiration estimates from just ...
AI Model Pinpoints the Strongest Early Warning Signs of Teen Depression in Chinese Schools
A machine learning study of junior high students in Shanghai finds that negative low-arousal academic emotions are the strongest predictor ...
Machine Learning Maps 37 Years of Dry Spells in India’s Cauvery Delta
A 37-year analysis of daily rainfall across 13 stations in Tamil Nadu's Thanjavur district combines trend tests, clustering, and machine ...
AI Models Predict Bone Scan Outcomes Before Imaging, but Time May Erode Their Accuracy
Researchers in Beijing built logistic regression and XGBoost models that predict bone scintigraphy diagnostic categories before scanning, finding that probability ...
Baby Teeth Hold a Weekly Record of Lead Exposure, Revealing Lead Levels at Birth
Researchers used weekly lead measurements in baby teeth and machine learning to reconstruct cord blood lead concentrations at birth, offering ...
Brain Waves and Machine Learning Join Forces to Tell Alzheimer’s and FTD Apart
A new explainable machine learning framework combining EEG signals with clinical data distinguishes Alzheimer's disease from frontotemporal dementia with 89.8 ...
AI Learns to Predict Biomass Fuel Quality in Both Directions, Outpacing Classic Formulas
A closure-aware machine-learning framework can bidirectionally predict biomass fuel properties from incomplete characterization data, outperforming classic empirical correlations while flagging ...
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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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