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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
| Title: | 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 | Authors: | T. Zivkovic |
Issue Date: | 2025 | Publication: | LNNS Lecture Notes in Networks and Systems: ICDAM 2024: Proceedings of Data Analytics and Management, volume 1301 | ISSN: | 2367-3370![]() Search Idenfier |
Publisher: | Springer, Singapore | Type: | Book parts | Collation: | 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 |
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