Are two sets of data genuinely different, or is it because of randomness? This question, known as the two-sample testing problem, becomes notoriously difficult in modern datasets, because they are ...

Using a novel simulation model based on machine learning, an international research team at GSI/FAIR has succeeded in gaining a deeper understanding of element formation in stellar events such as ...

But AI is being used in these fields through techniques that researchers have studied for years and whose strengths and ...

Abstract: In this research work is based on battery performance analysis by using Support Vector Regression(SVR) and K nearest Neighbor (KNN) model to predict the battery state of charge, state of ...

Abstract: For early identification and individualised management, machine learning-based diabetes prediction is essential. In this work, the methods for logistic regression (LR), naïve Bayes (NB), ...