# Efficient Deep Learning Framework for Fire Detection in Complex Surveillance Environment

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/efficient-deep-learning-framework-for-fire-detection-in-complex-surveillance/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Naqqash Dilshad |
| Citations | 41 |
| DOI | 10.32604/csse.2023.034475 |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://file.techscience.com/files/csse/2023/TSP_CSSE-46-1/TSP_CSSE_34475/TSP_CSSE_34475.pdf |
| OpenAlex ID | https://openalex.org/W4319987537 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Naqqash Dilshad](https://scholariq.org/researchers/naqqash-dilshad/)

## Paper journal

- [Computer Systems Science and Engineering](https://scholariq.org/journals/computer-systems-science-and-engineering/)

## Paper primary topic

- [Fire Detection and Safety Systems](https://scholariq.org/topics/fire-detection-and-safety-systems/)

## Paper topics

- [Fire Detection and Safety Systems](https://scholariq.org/topics/fire-detection-and-safety-systems/)
- [Evacuation and Crowd Dynamics](https://scholariq.org/topics/evacuation-and-crowd-dynamics/)
- [Video Surveillance and Tracking Methods](https://scholariq.org/topics/video-surveillance-and-tracking-methods/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.