Abstract: Machine learning (ML) models, particularly in the context of Federated Learning (FL), are increasingly used to enable predictive maintenance in smart industry. However, as these models ...

Abstract: The prediction and modeling of ionospheric total electron content (TEC) have consistently been a focal point for researchers, as it holds significant implications for satellite positioning, ...

Early identification and prediction of persistent SA-AKI are crucial. Objective: The aim of this study was to develop and validate an interpretable machine learning (ML) model that predicts persistent ...

As an industry-partnered senior design project, the BD Infusion Pump team is working with medical device company Becton, Dickinson and Company (BD) to tackle a real-world engineering problem with the ...

An us-versus-them mentality has emerged between Meta’s top artificial intelligence team and longtime lieutenants to Mark Zuckerberg. An us-versus-them mentality has emerged between Meta’s top ...

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Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...

A simple Flask application that can serve predictions machine learning model. Reads a pickled sklearn model into memory when the Flask app is started and returns predictions through the /predict ...

A rotating cylinder with its side cut away to expose the core, showing patches of purple, blue, green, yellow, and orange that are dense in the middle and more diffuse toward the edges. This rotating ...