... five machine learning regression models – namely, artificial neural network, support vector machine, gradient boosting machine, random forest and k-nearest neighbors. ANN outperformed other models in predicting E. coli concentrations. In the data-driven analysis, the state of sand...

... a data-driven, mostly empirical discipline. With the advent of new machine learning (ML) and artificial intelligence methods, it becomes possible to establish new correlations in tribological data to predict and control better the tribological behavior of novel materials. Hence, the new area...