Gun identification from gunshot audios for secure public places using transformer learning
Abstract Increased mass shootings and terrorist activities severely impact society mentally and physically. Development of real-time and cost-effective automated weapon detection systems increases a sense of safety in public. Most of the previously proposed methods were vision-based. They visually a...
Main Authors: | Rahul Nijhawan, Sharik Ali Ansari, Sunil Kumar, Fawaz Alassery, Sayed M. El-kenawy |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-08-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-022-17497-1 |
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