Uncertainty-aware machine learning maps the real range of electric cargo vans
A comparative study of seven uncertainty-aware machine learning frameworks on real-world cargo EV data shows trade-offs between prediction accuracy, interval ...
A comparative study of seven uncertainty-aware machine learning frameworks on real-world cargo EV data shows trade-offs between prediction accuracy, interval ...
A condition-stratified study of westbound Interstate I-94 found that XGBoost without weather variables delivered the most accurate hour-ahead traffic forecasts.
A wrist-worn motion sensor and a compact neural network detected prosthetic hand contact with 99.1 percent accuracy in lab tests.
Machine learning and robotic synthesis are accelerating the search for catalysts that convert methane directly into ethylene, though researchers say ...
A new Perspective article outlines how Multi-Criteria Decision Analysis, predictive microbiology and machine learning can support microbiological food safety management ...
Unsupervised ensemble methods combining Choi, NHANES and HMM classifiers detected accelerometer non-wear in children more stably than individual algorithms.
A new five-dimension trustworthiness framework applied to HER2 breast cancer prediction shows that model rankings shift across reliability, explainability, stability, ...
A two-center study reports that a random forest model using five bacterial species detected by probe capture-based metagenomic sequencing classified ...
A motion capture and EMG study of twenty male basketball enthusiasts found that one-motion and two-motion free throws differ in ...
A scoping review of 12 studies finds that risk prediction models for stroke-associated sarcopenia show promising discrimination but almost universally ...
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© 2025 Scienmag - Science Magazine