Iskalni niz:
išči po
išči po
išči po
išči po
Vrsta gradiva:
Jezik:
Št. zadetkov: 1
Analysis of unsupervised learning approach for classification of vehicle fuel type using psychoacoustic features
Marko Milivojčević, Dejan Čirić, Jurij Prezelj, Jure Murovec
Izvirni znanstveni članek
Oznake: sistem zajema na osnovi akustike;akustična analiza;motorji z notranjim izgorevanjem;psihoakustične značilke;samoorganizirajoče mreže;nenadzorovano učenje;acoustic based acquisition system;acoustic analysis;internal combustion engines;self-organizing maps;psychoacoustic features;unsupervised classification;
Much research has been done in the field of classifying vehicles based on their fuel type. One of the many potential applications is to improve the quality of life in urban areas by separating vehicles based on their pollution level. Real-time classification and implementation of appropriate on-site ...
Leto: 2024 Vir: Fakulteta za strojništvo (UL FS)
Št. zadetkov: 1
Ključne besede:
Leto izdaje:
Avtorji:
Repozitorij:
Tipologija:
Jezik: