Automated Weapon Detection Using Inception-v3: A CNN Approach-Reference-Cited by-同舟云学术

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Automated Weapon Detection Using Inception-v3: A CNN Approach

Published:2024-06-08 Issue: Volume:3 Page:1-5
ISSN:
Container-title:2024 International Conference on Integrated Circuits, Communication, and Computing Systems (ICIC3S)
language:
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Author:

Gupta Mridul¹,Banka Nikhil²,Narang Sparsh²,Upadhyay Deepak³

Affiliation:

1. Graphic Era (Deemed to be University),Department of Electronics & Communication Engineering,Dehradun,India

2. NSUT,Department of Electronics & Communication Engineering,New Delhi,India

3. Graphic Era Hill University,Department of Computer Science Engineering,Dehradun,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10602773/10602837/10602941.pdf?arnumber=10602941

Reference19 articles.

1. Handheld ultrasonic concealed weapon detector

2. An Overview of Concealed Weapons Detection for Homeland Security

3. Demonstration of a Concealed Weapons Detection System Using Electromagnetic Resonances;Final Report,2002

4. Concealed Weapon Detection Using Image Processing;Khajone;Int. J. Sci. Eng. Res.,2012

5. Twitter Sentiment Analysis Using Machine Learning and Deep Learning

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