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1. Identification of different manifestations of nonlinear stick-slip phenomena during creep groan braking noise by using the unsupervised learning algorithms k-means and self-organizing map Jurij Prezelj, Jure Murovec, Severin Huemer-Kals, Karl Häsler, Peter Fischer, 2022, original scientific article Keywords: brake NVH, signal processing, acoustic emission, signal features, unsupervised classification, real-time AE envelope |
2. Analysis of unsupervised learning approach for classification of vehicle fuel type using psychoacoustic features Marko Milivojčević, Dejan Čirić, Jurij Prezelj, Jure Murovec, 2024, original scientific article Keywords: acoustic based acquisition system, acoustic analysis, internal combustion engines, self-organizing maps, psychoacoustic features, unsupervised classification |