Conclusion: In this study, the stacking ensemble prediction model for HUA was developed, and it outperformed three individual models that compose it (support vector machine, decision tree C5.0, and ...

While ML models are powerful tools for predicting diabetes, their lack of interpretability presents a major challenge for ...

This course is focused on how machine learning can harness data — no matter how small — to train an AI model. Featuring 5 instructors this course is led by Antonio ... You'll eventually understand how ...

Utilising Machine Learning on clinical datasets could help to crack the enigma of feline infectious peritonitis diagnosis ...

Candidate genetic variants included in a genetic risk algorithm may not meet standards of reasonable clinical efficacy in identifying opioid use disorder risk, according to a study published in JAMA ...

Durga Prasad Katasani's insights highlight the transformative potential of predictive analytics in optimizing cloud migration ...

ML.NET is a cross-platform open-source machine learning (ML) framework for .NET. ML.NET allows developers to easily build, train, deploy, and consume custom models in their .NET applications without ...

A Hall thruster is a high-efficiency propulsion device using plasma that is used for various difficult space missions, such ...

The interest in the combination of data and finance was the starting point of Yadav. At the beginning of his career, he saw a ...

A research team presents an AI assessor for Hall-effect ion thrusters, the engines of satellites and space probes.

A research team from KAIST Nuclear and Quantum Engineering presents an AI assesser for Hall-effect ion thrusters, the engines ...