This paper aims to implement an efficient renewable energy selection (either solar or wind) based on the chosen geographic location of Aguascalientes, Mexico through a Machine Learning (ML) method.

Classic fault detection and classification has some classic problems. It’s reactive, time-consuming to set up, and any ...

AI transforms RF engineering through neural networks that predict signal behavior and interference patterns, enabling ...

This study considers the need and application of predictive analytics using the classification models linear regression and decision trees to predict future sales performance. We conduct this research ...