Drone Fusion Method Spots Wheat Rust Before It Devastates Fields
Researchers in China have developed a label-free temporal weighting method that fuses multispectral drone imagery from three wheat growth stages, ...
Tag: SHAP
AI Learns to Drill Perfect Micro-Holes in Titanium With Remarkable Precision
Researchers in India combined µEDM drilling experiments on titanium with benchmarked machine learning models, explainable AI, and a surrogate-based inverse ...
AI Model Predicts Death Risk in Sepsis Patients With Heart Injury
Researchers built an eight-variable machine learning model that predicts in-hospital mortality in patients with sepsis-related myocardial injury and validated its ...
Small Reservoirs Have Hidden Carbon Tipping Points, Machine Learning Study Reveals
A new study combining stochastic life-cycle assessment with XGBoost and SHAP machine learning identifies a 41.3-kilometer economic carbon radius and ...
Machine learning reveals when wheat fields leak the most nitrous oxide
A year of continuous eddy covariance measurements and explainable machine learning above a Swiss winter wheat field shows that nitrous ...
AI Model Flags Which Food-Allergic Babies Will Develop Asthma by School Age
A prospective study of 447 food-allergic infants reports a cost-sensitive ensemble model that predicts school-age asthma with an AUC of ...
Confidence Beats Enjoyment in Predicting Young Students’ Science Success, AI Study Finds
An explainable machine learning analysis of TIMSS 2023 data from the UAE and Singapore finds that fourth-graders' confidence in science ...
AI Reads MRI Scans to Tell Apart Two Breast Cancer Subtypes Without a Biopsy
A multicenter study shows that a machine learning model combining features from three MRI sequences can non-invasively distinguish luminal A ...
AI Picks the Weather Clues That Matter Most for Solar Power Forecasts
A hybrid feature selection framework combining correlation analysis, PCA, neural sensitivity testing, and SHAP/LIME explainability reveals that average battery voltage ...
AI Learns to Say I Don’t Know: Risk-Calibrated Transformer Brings Safer Alzheimer’s Staging
A new risk-calibrated tabular Transformer achieves state-of-the-art Alzheimer's disease staging while calibrating its confidence and abstaining on uncertain cases.
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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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