I discovered artificial intelligence tool GPT Excel in my quest to cut down on all the busywork it takes to create and update ...

The integration of Machine Learning stands as a prominent solution to unravel the intricacies inherent to scientific data. While diverse machine learning algorithms find utility ... a neural network ...

The proposed model has a special structure consisting of a radial mean function and a local shadow fading term. In contrast to the log-distance path loss model and other regression-based approaches, ...

This electrical activity can be recorded to analyze the performance of any muscle. Machine learning algorithms can be deployed to predict the presence of abnormality in the muscles. In this study, we ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Objectives This study aimed to employ machine learning algorithms ... seven ML algorithms to predict zero-dose children in Tanzania. The algorithms used include: Logistic regression: A statistical ...