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

Aspect-based Tourism Recommendation System Through Machine Learning Algorithms

Abstract: A Recommendation System (RMS) enhances user decision-making by suggesting relevant items from large selections, aiding organizations in improving sales, personalization, and reducing search ...