Architecture of YOLOv10 [24].

<div><p>Arson detection plays a critical role in protecting lives and property in high-risk environments such as airports, industrial zones, and other public areas. Recent advances in deep learning (DL), particularly YOLOv10, have demonstrated strong potential in real-time object detecti...

Full description

Saved in:

Bibliographic Details
Main Author:	Ali Abbas Abbod (22386097) (author)
Other Authors:	Matheel E. Abdulmunim (22386100) (author), Ismail A. Mageed (22052111) (author)
Published:	2025
Subjects:	Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified time surveillance systems grey wolf optimization global search capability experimental results show enhancing dl models effective hyperparameter optimization demonstrated strong potential bboa optimization algorithm 182 annotated images time object detection hybrid metaheuristic approaches model &# 8217 hybrid gwo arson detection work highlights tuning strength study proposes risk environments required iterations recent advances public areas protecting lives proposed gwo optimizing hyperparameters industrial zones highly dependent future work evaluated using enhanced ability deep learning critical role computational efficiency
Tags:	Add Tag No Tags, Be the first to tag this record!

Architecture of YOLOv10 [24].

Similar Items