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 ...
Tag: XGBoost
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 ...
AI Framework Fuses Satellites and Ground Data to Weigh the World’s Grasslands
A new deep learning and ensemble learning framework reaches up to 93.04% accuracy in estimating aboveground biomass across three contrasting ...
Rough Set Theory Trims the Data Needed to Flag HER2-Positive Breast Cancer
A rough set theory analysis of the METABRIC cohort shows that a compact set of routine clinical variables can moderately ...
AI Reveals Humidity Trigger Behind Türkiye’s Shifting Extreme Rainfall Regime
A new hybrid machine learning and extreme value analysis framework reveals a 2020 precipitation regime shift, a humidity activation threshold ...
AI Maps Hidden Water Loss and Carbon Emissions Across Indonesian Tropical Peatland
Researchers used machine learning and dense field data to map groundwater levels and carbon dioxide emissions at high resolution across ...
Decade of Data: How Explainable AI Is Cracking Open the Black Box of Crash Severity Prediction
A systematic review of 237 studies from 2014 to 2024 maps how explainable AI techniques such as SHAP and LIME ...
AI Learns to Predict Hidden Damage in Fretting Contacts in Under a Millisecond
Researchers have combined verified finite element simulations with machine learning to predict fretting dissipated energy and slip regimes in under ...
Machine Learning Forecasts Reservoir Water Well but Misses Silent Sediment Loss
A comparative study of Taiwan's Mingde and Shihmen reservoirs shows machine learning models forecast monthly storage with high skill but ...
Machine Learning Reveals How Warming Penetrates Frozen Soils of Northeast China
A new interpretable machine learning study shows that warming in Northeast China's frozen soils decreases with depth, with longwave radiation, ...
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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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