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Development and Optimization of Deep Learning Models for Weapon Detection in Surveillance Videos

Research article (Applied Sciences, 2022) · cited 63× · AI/ML
academia openalex:W4281781281
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Development and Optimization of Deep Learning Models for Weapon Detection in Surveillance Videos

Summary

Development and Optimization of Deep Learning Models for Weapon Detection in Surveillance Videos is a scholarly article[1].

Key Facts

  • Development and Optimization of Deep Learning Models for Weapon Detection in Surveillance Videos's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Development and Optimization of Deep Learning Models for Weapon Detection in Surveillance Videos. Retrieved May 24, 2026, from https://4ort.xyz/entity/development-and-optimization-of-deep-learning-models-for-weapon-detection-in-surveillance-videos
MLA “Development and Optimization of Deep Learning Models for Weapon Detection in Surveillance Videos.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/development-and-optimization-of-deep-learning-models-for-weapon-detection-in-surveillance-videos.
BibTeX @misc{4ortxyz_development-and-optimization-of-deep-learning-models-for-weapon-detection-in-surveillance-videos_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Development and Optimization of Deep Learning Models for Weapon Detection in Surveillance Videos}}, year = {2026}, url = {https://4ort.xyz/entity/development-and-optimization-of-deep-learning-models-for-weapon-detection-in-surveillance-videos}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Development and Optimization of Deep Learning Models for Weapon Detection in Surveillance Videos — https://4ort.xyz/entity/development-and-optimization-of-deep-learning-models-for-weapon-detection-in-surveillance-videos (retrieved 2026-05-24)

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