YOLOv8 Model Architecture Selection for Human Fall Detection, Chapter in LNNS Lecture Notes in Networks and Systems: ICDAM 2024: International Conference on Data Analytics &amp; Management, Springer, volume 1301

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Naziv:	YOLOv8 Model Architecture Selection for Human Fall Detection, Chapter in LNNS Lecture Notes in Networks and Systems: ICDAM 2024: International Conference on Data Analytics & Management, Springer, volume 1301
Autori:	T. Zivkovic ; M. Zivkovic ; L. Jovanovic ; J. Kaljevic ; M. Dobrojevic ; N. Bacanin
Godina:	2025
Publikacija:	LNNS Lecture Notes in Networks and Systems: ICDAM 2024: Proceedings of Data Analytics and Management, volume 1301
ISSN:	2367-3370 Pretraži identifikator
Izdavač:	Springer, Singapore
Tip rezultata:	Poglavlje u monografiji
Kolacija:	str. 219-227
DOI:	10.1007/978-981-96-3372-2_15
Scopus-ID:	2-s2.0-105010386398
URI:	http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/3/11409 https://link.springer.com/chapter/10.1007/978-981-96-3372-2_15 https://enauka.gov.rs/handle/123456789/982402
M-kategorija:	Mp kategorija će biti prikazana naknadno.

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