Methodology for Weapon Detection in Social Media Profiles using an Adaptation of YOLO-V5 and Natural Language Processing Techniques-Reference-Cited by-同舟云学术

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Methodology for Weapon Detection in Social Media Profiles using an Adaptation of YOLO-V5 and Natural Language Processing Techniques

Published:2022-11-09 Issue: Volume: Page:
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Container-title:2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)
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Author:

Baez-Velazquez Alberto¹,Hernandez-Suarez Aldo¹,Sanchez-Perez Gabriel¹,Toscano-Medina Karina¹,Portillo-Portillo Jose¹,Olivares-Mercado Jesus¹,Meana Hector-Manuel Perez¹

Affiliation:

1. Instituto Polité cnico Nacional, ESIME Culhuacán,Mexico City,México

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10018605/10018571/10018723.pdf?arnumber=10018723

Reference20 articles.

1. Media forensics on social media platforms: a survey

2. A survey of machine learning techniques in adversarial image forensics

3. Firearm detection in social media images;valldor;Swedish Symposium on Deep Learning,2018

4. Analyzing the social media footprint of street gangs

5. Performance of Recent Tiny/Small YOLO Versions in the Context of Top-View Fisheye Images

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Weapon Detection System For Security And Surveillance Using YOLOv8;2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT);2024-05-02

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