Machine Learning Screens Malaysian Kelulut Honey Compounds Against Allergy Receptor
An XGBoost ensemble model trained on docking data ranked kelulut honey phytochemicals by predicted binding to the histamine H1 receptor, ...
Tag: XGBoost
Machine Learning Tracks Farm Injuries as Data Drifts Over Time
A benchmark of four classifiers on 60,010 Maine pre-hospital care reports shows temporal drift degrades agricultural injury detection and only ...
Carbon-Budgeted Federated Learning Adds Blockchain Auditing to Healthcare AI
A simulated federated learning framework combines carbon-budgeted client selection, blockchain auditing, and gradient-boosting ensembles for cardiovascular prediction.
Shaking Zones Reveal Hidden Rules Behind Earthquake Landslides and Liquefaction
A new remote-sensing framework applied to the 2025 Dingri earthquake shows that landslide and liquefaction predictions depend on different combinations ...
Walking Time Emerges as Early Warning Signal for Combined Cognitive and Physical Decline in Older Adults
A multinational cohort study using temporal deep learning identified deteriorating walking time as the strongest predictor of dual cognitive-physical decline ...
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 ...
Distance deterrence in Seoul mobility varies across space, time and age groups
A study of 4.8 billion trips in the Seoul Metropolitan Area finds that distance deterrence varies with location, time of ...
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, ...
AI Model Scores College Spoken English With 95 Percent Accuracy
A new open-access study reports an AI and IoT-based system that classifies college spoken English performance with 95.47 percent accuracy ...
Hybrid AI framework trims redundant features to speed intrusion detection benchmarks
A new study reports that combining correlation-based feature pruning with resource-aware adaptive learning improved accuracy and reduced memory use on ...
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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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