Proceedings of the National Academy of Sciences (PNAS)

Identifying variation in dinosaur footprints and classifying problematic specimens via unbiased unsupervised machine learning

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
IEEE

Detection of Broken Rotor Bars in Induction Motors Using Supervised Machine Learning Methods

Abstract: This paper presents the detection of broken rotor bars (BRB) in three-phase induction motors (IM) employing three supervised machine learning algorithms (SMLA), including Decision Three ...
IEEE

Improving Performance of Supervised Machine Learning Algorithms on Small Datasets

Abstract: In most cases, machine learning involves working with large volumes of data in order to perform optimally. However, in some cases, there is only a limited amount of training data available, ...