Work

Comparative Analysis of YOLOv9 and YOLOv10 Algorithms for Urban Safety Improvement

Year: 2024

Type: conference-paper

Source: IEEE International Symposium on Intelligent Systems and Informatics (SISY)

DOI: 10.1109/sisy62279.2024.10737612

Authors: Matko Glučina, Nikola Žigulic, Domagoj Frank, Ivan Lorencin, Dario Matika

Institutions: Istarsko veleučilište, University of Rijeka, University North, Juraj Dobrila University of Pula

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Peace, justice, and strong institutions

Open Access status: closed

OpenAlex ID: W4404057299

FWCI: 0.633

Cites: 37

Cited by: 3

Related to: 10