Failures of water distribution networks (WDNs) are rising at an exponential rate,
necessitating immediate attention. An effective way to reduce the failure rate is to develop …

To achieve a targeted production level in mining industries, all machine systems and their
subsystems must perform efficiently and be reliable during their lifetime. Implications of …

The growing trend toward vehicles being connected to various unidentified devices, such as
other vehicles or infrastructure, increases the possibility of external attacks on “vehicle …

Agricultural automation is an emerging subject today to accomplish the food demands of
individuals across the globe. Machine learning is one such agricultural automation tool that …

In last decade, machine learning (ML) techniques increased the capability to automatically
learn the experience without being explicitly programmed. Different machine learning …

Abstract The emergence of Industry 4.0, also known as the fourth industrial revolution, has
brought forth the concept of prognostics and health management (PHM) as an inevitable …

A random forest is a machine learning model utilized in classification and forecasting. To
train machine learning algorithms and artificial intelligence models, it is crucial to have a …

Surface mining dominates the world's production of minerals. Currently, almost all non-
metallic minerals (more than 95%), most metallic minerals (more than 90%), and a …

Machine Learning (ML) has proved to be an invaluable tool in medical research today. It is a
branch of artificial intelligence that has the ability to learn from complex data, identify …

Objetivo: Esta pesquisa utilizou algoritmos de Aprendizagem de Máquina (AM) e o modelo
de linguagem natural GPT para prever e melhorar o desempenho dos alunos …