Machine learning surrogate slashes cost of calibrating WAAM thermal simulations
Researchers trained a machine learning surrogate on 120 simulations that predicts WAAM thermal histories in milliseconds and calibrates uncertain model ...
Tag: model calibration
Open-data machine learning framework reaches near-perfect breast cancer diagnosis on benchmark dataset
A reproducible open-data framework using the Wisconsin Diagnostic Breast Cancer dataset achieved near-ceiling discrimination for malignant-versus-benign classification while doubling as ...
Rotating Poincaré Waves Reveal Where Tidal Models Feel Bottom Friction
An analytical study shows that localized changes in bottom friction launch rotating Poincaré waves at odd multiples of the tidal ...
Synthetic Japanese claims benchmark puts healthcare fraud detection to a frozen, one-shot test
Researchers built a synthetic, Japan-calibrated medical claims benchmark with traceable fraud counterfactuals and a frozen single-access evaluation, reporting strong anti-fraud ...
AI Meets the Blood Drop: Scientists Map the Rules for Merging Liquid Biopsy Data in Cancer Research
A new methods article outlines how artificial intelligence should be used to integrate liquid biopsy biomarkers in cancer research, finding ...
Fed-DATrust Enhances Federated Disaster Assessment Reliability
Fed-DATrust is a cross-stage risk-coordination framework that improves the reliability of federated multimodal learning for disaster damage assessment.
Handgrip Strength Adds Little Cross-Cohort Predictive Value for Disability
A multi-cohort study found that handgrip strength was associated with disability in the development population but added little reproducible predictive ...
Research report: Deep learning based detection of active pulmonary tuberculosis from chest radiographs in a retrospective prospective multicenter study
A lightweight ShuffleNetV2 model distinguished active from non-active pulmonary tuberculosis on chest radiographs with a prospective AUC of 0.896 and ...
Bayesian Network Matches Classifiers for IgE Sensitization Risk
A Bayesian network calibrated sensitization probabilities in 8,285 NHANES participants while matching logistic regression and random forest for discrimination, offering ...
Prospective Vietnamese cohort tests explainable machine learning for acute heart failure mortality
A prospective Vietnamese cohort found that explainable machine learning could rank in-hospital mortality risk in acute heart failure, but it ...
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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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