Leveraging Large Language Models for Enhanced Classification and Analysis: Fire Incidents Case Study
Fire detection and analysis have been a central focus of numerous studies due to their importance in potentially reducing fire’s harmful impact. Fire detection and classification using artificial intelligence (AI) methods have drawn significant attention in the literature. These methods often tackle...
Saved in:
Main Author: | Eman H. Alkhammash |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-12-01
|
Series: | Fire |
Subjects: | |
Online Access: | https://www.mdpi.com/2571-6255/8/1/7 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Comparative Analysis of YOLOv9, YOLOv10, YOLOv11 for Smoke and Fire Detection
by: Eman H. Alkhammash
Published: (2025-01-01) -
Comparison of algorithms for the recognition of ChatGPT paraphrased texts
by: Aleksandar Kartelj, et al.
Published: (2025-02-01) -
A Research on Recent Hospital Fires and Their Causes
by: Zehra Yıldız, et al.
Published: (2020-01-01) -
Fire Safety Policy
by: Kabale University
Published: (2022) -
Zero-Shot Classification of Art With Large Language Models
by: Tatsuya Tojima, et al.
Published: (2025-01-01)