Left Atrial Strain Model Flags Heart Risk in Uremia Patients
A retrospective Chinese study built a LASSO-logistic model using four-dimensional left atrial quantification parameters that predicted major adverse cardiovascular events ...
Tag: SHAP
Machine learning steers biomass carbon cathodes to stronger zinc-ion supercapacitors
A machine learning model built on eight material descriptors predicted the specific capacity of nitrogen-doped porous carbon cathodes for zinc-ion ...
Explainable AI Could Make or Break Trust in 5G and 6G Networks
A new scoping review of 73 studies argues that explanations in AI-driven 5G and 6G networks must balance fidelity, latency, ...
Southern Telangana Rainfall Mapped in Rare District-Level Diagnostic Study
A 43-year IMD rainfall analysis of twelve Southern Telangana districts reveals annual totals from about 670 to 1,288 millimeters, ten-year ...
FedSPA Uses Shapley Values to Shield Federated Learning From Poisoning Attacks
FedSPA combines Shapley-value analysis and model parameter similarity to identify malicious clients in federated learning under data poisoning attacks.
Machine learning maps biochar’s strength effects in cement, with limits
A new study compiled published data on biochar-modified cementitious composites and used machine learning to explore compressive strength retention, finding ...
Machine learning model predicts early pregnancy loss after IVF using five routine clinical markers
A retrospective cohort study developed an XGBoost model using five routine clinical indicators to estimate early pregnancy loss risk after ...
Tensor-Compressed Federated Learning Keeps Patient Data Private While Cutting Edge Latency
A new framework for privacy-preserving healthcare analytics, published in Discover Artificial Intelligence, reports measurable gains in accuracy, latency, and communication ...
Machine Learning Flags Preterm Birth Risk Across Eleven African Countries
A machine learning study of 411,863 women across eleven Sub-Saharan African countries achieved 90.2 percent accuracy in predicting preterm birth ...
AI Learns to Predict Ultra-Strong Recycled Concrete Strength from Tiny Datasets
A machine learning framework combining a small experimental dataset with 300 VAE-generated synthetic mixes predicts the compressive strength of recycled-concrete-powder ...
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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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