Support vector machine and edge computing enhanced real-time ambulance siren detection system
Yazarlar (2)
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY (Q3) | ||
| Dergi ISSN | 1300-1884 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | |||
| Makale Dili | İngilizce | Basım Tarihi | 01-2025 |
| Kabul Tarihi | 12-04-2026 | Yayınlanma Tarihi | – |
| Cilt / Sayı / Sayfa | 40 / 2 / 1147–1158 | DOI | – |
| Makale Linki | https://unis.gop.edu.tr/app_files/2026/01/Yayin_Pdf_58398_4dd2a72f.pdf | ||
| Özet |
| Purpose:The primary aim of this research is to develop a robust sound classification system focused on the detection of ambulance sirens in traffic environments. Leveraging the capabilities of Polynomial SVM and edge computing, this study seeks to enhance real-time responsiveness in embedded systems, contributing to improved traffic management and emergency response efficiency.Theory and Methods: |
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