This paper describes an approach for detection of the supply unbalance condition in induction motors by using data mining process. Simulation results have shown that a good indicator of the fault is the amplitude of the second harmonic of the supply frequency component (2f) in the signal obtained by the differences in supply current zero crossing instants. In the study, linear regression (LR), ...

Efficient cropping requires yield estimation for each involved crop, where data-driven models are commonly applied. In recent years, some data-driven modeling technique comparisons have been made, looking for the best model to yield prediction. However, attributes are usually selected based on expertise assessment or in dimensionality reduction algorithms. A fairer comparison should include the...

Abstract Classification and regression trees, as well their variants, are off-the-shelf methods in Machine Learning. In this paper, we review recent contributions within the Continuous Optimization Mixed-Integer Linear paradigms to develop novel formulations research area. We compare those terms of nature decision variables constraints required, optimization algorithms proposed. illustrate how ...