AI Turns Raw Stress Data Into 36 Physics Features to Predict Metal Fatigue
An AI framework using physics-informed features and Bayesian optimization predicted multiaxial fatigue life across 25 metals, with XGBoost reaching a ...
Tag: Bayesian optimization
Deep Learning Model Predicts Adhesive Hydrogel Strength Under Distribution Shift
A dual-modality deep encoder called SIMPLEX achieved the highest R-squared of 0.6712 for predicting adhesion strength of hydrogel formulations collected ...
Diffusion-generated images sharpen AI detection of faulty power grid insulators
Researchers combined a conditional diffusion model, a hypertuned YOLO26x detector and a Swin-V2-B classifier with a new SHAP-CAM explainability method ...
Federated AI Learns to Spot Hospital Device Hacks Without Ever Seeing Patient Data
Researchers have built a federated, explainable deep learning framework that detects attacks on Internet of Medical Things devices with detection ...
Machine learning model turns decades of literature data into a fast route to highly selective organocatalysis
A Tsinghua University team built OrgAIcat, a machine learning framework trained on more than 22,000 literature data points that predicts ...
IoT Sensors and Hybrid Machine Learning Model Predict Solar Panel Faults Before They Strike
Researchers combined a low-cost IoT monitoring prototype with a Bayesian-optimized XGBoost model that achieved the highest accuracy and fastest computation ...
Bayesian optimization-driven exploration of process–structure–property relationship for polyethylene composite films
An experiment using multi-objective Bayesian optimization mapped the strength–stretchability trade-off in polyethylene composite films and linked it to molecular alignment ...
Interpretable machine learning predicts strength of heat-storing microcapsule concrete in external lab tests
Researchers combined new laboratory tests with an interpretable machine-learning framework to predict the compressive strength of microcapsule-modified concrete, achieving an ...
Neural networks outshine regression in forecasting Germany’s energy demand to 2050
A controlled comparison of regression, econometric, and machine learning models on German data finds that the most accurate historical model ...
AI Meets the Tide: Machine Learning Predicts Coastal Erosion on the Nile Delta
Researchers combined the Coastal Modelling System with Bayesian optimization and machine learning to predict erosion and sedimentation at Egypt's Kitchener ...
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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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