Of the ML models, the XGBoost had the best performance, with an AUC of 0.941 on the training set and an AUC of 0.775 on the internal validation set. The combination of clinical data with machine ...
In a recent study published in the journal npj Aging, researchers developed a urinary microRNA (miRNA) aging clock that predicts chronological age from urinary miRNA profiles, with deviations used as ...
ABSTRACT: The surge of digital data in tourism, finance and consumer markets demands predictive models capable of handling volatility, nonlinear dynamics, and long-term dependencies, where traditional ...
A free vending machine stocked full of groceries, including fresh produce and eggs, has been launched in the Bronx, New York City, the first of its kind made to serve the general public. The NGO ...
Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...
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Abstract: Deep learning methods have been widely employed to diagnose faults in power converters. However, it is challenging to diagnose multiple faults in two-stage charging power modules. Besides, ...
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