Machine learning picks the fastest linear solvers for porous media simulations
Researchers have developed a machine learning algorithm that selects and tunes preconditioned linear solvers on the fly during multiphysics porous ...
Tag: Machine Learning
Machine learning predicts HIV patients at risk of dropping out of antiretroviral care
Random Forest and XGBoost models predicted loss to follow-up among ART patients in Zimbabwe with high internal accuracy, while LIME ...
Kinetic Models Could Bridge the Gap Between Lab-Scale Algae Wastewater Treatment and Real Industry
A new review argues that kinetic modelling of Chlorella growth, pollutant removal, and product formation is the key to scaling ...
Fuzzy Logic Meets Machine Learning to Keep Farm Drones Flying Through Sandstorms and Floods
A hybrid fuzzy–machine learning framework classifies UAV takeoff safety into Safe, Caution and Unsafe categories for Saudi date palm farms, ...
Neighbor Contrast Learning Helps Clustering Cope With Missing Data Views
Researchers report a neighbor contrastive learning method that fills missing data views by transferring neighbor relationships and improves clustering accuracy ...
Sepsis is not one disease: how subphenotypes could reshape precision therapy
A narrative review argues that sepsis is a biologically heterogeneous syndrome whose reproducible subphenotypes may eventually guide targeted treatment, though ...
Machine Learning Model Finds Optimal Conditions for Energy-Efficient CO2 Capture with Oil Palm Ash
A Gaussian process surrogate model trained on 346 fixed-bed adsorption experiments was coupled with genetic and swarm-based optimization to balance ...
Music-aware transformer hits 99.2% accuracy on ballroom genre classification
A music-aware transformer framework combining multi-scale spectrogram learning and adaptive attention optimization reported accuracies of 93.5%, 99.2%, and 97.1% on ...
Compact microwave resonator pairs with machine learning to read glucose through the fingertip
A four-cell CSRR microwave sensor on FR4 achieved 80 percent glucose classification accuracy with wavelet-based machine learning and reported sensitivities ...
Patent Data Added to a Drug Repurposing Knowledge Graph Failed to Beat Simpler Baselines for Duchenne Muscular Dystrophy
A time-sliced evaluation found that adding patent-derived relations to a Duchenne muscular dystrophy knowledge graph perturbed rankings without establishing uniform ...
Genetic study links gut microbes to ulcerative colitis and flags two biomarkers
A Mendelian randomization and transcriptomic study identified 11 gut microbial taxa genetically associated with ulcerative colitis and nominated PHLPP2 and ...
Machine learning model predicts strength of rice husk ash concrete
A machine-learning framework trained on published experimental data predicts the compressive strength of rice husk ash concrete, with a support ...
Machine learning disease prediction models rely heavily on one interpretability method, review finds
A systematic review of 82 studies found SHAP dominated interpretability methods in machine learning disease prediction, while calibration, stability and ...
Computational Genotoxicity Takes Center Stage at JEMS 2024 Symposium
A JEMS 2024 symposium report outlines how (Q)SAR modeling, machine learning, and error-corrected sequencing are shaping the emerging field of ...
New AI Network Picks Faster Join Orders for Database Queries
A new reinforcement learning optimizer called LIGHT uses dynamic graph attention and logarithmic reward shaping to cut query latency on ...
Ranking rules, not fancy models, decide which food price shocks get flagged
A new study finds that food price shock screening performance hinges on measurement choices, event eligibility and review workload rather ...
AI Reads Horse Steroid Profiles to Sort Stallions, Mares and Geldings
An automated system combining PDF data extraction, internal-standard normalization and Random Forest classification of GC–MS/MS steroid profiles sorted racehorse sex ...
Recalibrating Polygenic Risk Scores to Local Data Sharpens Disease Risk Prediction
A new framework recalibrates published polygenic risk scores to local biobank data, improving risk prediction for coronary artery disease, breast ...
Ultrasound radiomics model shows promise for predicting spontaneous preterm birth
A nested case-control study of 272 pregnancies found that a combined ultrasound radiomics and clinical model predicted spontaneous preterm birth ...
Smartphones, Glucose Sensors and Voice May Reveal Diabetic Minds, Review Finds
A scoping review of 10 studies finds digital phenotyping using glucose monitors, smartphones and voice shows exploratory potential for mental ...
