Žan Pogač

1. POGAČ, Žan. Štetje prometa s pomočjo umetne inteligence : diplomska naloga. Novo mesto: [Ž. Pogač], 2023. 34 str., ilustr. https://revis.openscience.si/IzpisGradiva.php?id=10029. [COBISS.SI-ID 169933571]

2. POGAČ, Žan, ALJAŽ, Tomaž. Vpliv svetlobnih pogojev na delovanje YOLO algoritma pri urbani prometni analizi = The impact of lighting conditions on the performance of YOLO algorithm in urban traffic analysis. In: FINK GRUBAČEVIĆ, Iris (ed.), GALIČ, Lucija (ed.). Razvoj industrijskega inženiringa (RII8) = Development of industrial engineering (RII8) : priložnosti, potenciali, izzivi = opportunities, potentials, challenges : zbornik recenziranih prispevkov 8. mednarodne konference = proceedings of reviewed papers of 8th International Conference : priložnosti, potenciali in izzivi za zeleni prehod = opportunities, potentials and challenges for the green transition : Šmarješke Toplice, 23. november 2023. Novo mesto: Fakulteta za industrijski inženiring: = Faculty of Industrial Engineering, 2023. Str. 25-30, ilustr. ISBN 978-961-7097-13-9. http://www.fini-unm.si/mednarodna-konferenca/zborniki/. [COBISS.SI-ID 179827203]

3. POGAČ, Žan, ALJAŽ, Tomaž. Enhancing urban traffic flow with AI : a case study of YOLO-based vehicle counting. In: ERMAN, Nuša (ed.). 14th International Conference on Information Technologies and Information Society : ITIS 2023 : ["Future of digital society in the age of AI and ChatGPT"] : conference proceedings : November 9-10, 2023, Ljubljana, Slovenia. Novo mesto: Faculty of Information Studies, 2024. Str. 61-72, ilustr. ISBN 978-961-96549-0-3. https://itis.fis.unm.si/wp-content/uploads/2024/02/ITIS-Proceedings-2023.pdf. [COBISS.SI-ID 185764867]