Identification and Categorization of Unusual Internet of Vehicles Events in Noisy Audio-Reference-Cited by-同舟云学术

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Identification and Categorization of Unusual Internet of Vehicles Events in Noisy Audio

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)
language:
Short-container-title:

Author:

Iqbal Farkhund¹,Abbasi Ahmad²,Javed Abdul Rehman²,Srivastava Gautam³,Jalil Zunera²,Gadekallu Thippa Reddy⁴

Affiliation:

1. Zayed University,Department of Cyber Security,UAE

2. Air University,Department of Cyber Security,Islamabad,Pakistan

3. Brandon University,Dept. of Math and Computer Science,Brandon,Canada,MB R7A 6A9

4. Lebanese American University,Department of Electrical and Computer Engineering,Byblos,Lebanon

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10199114/10199145/10199432.pdf?arnumber=10199432

Reference24 articles.

1. Byte-Level Object Identification for Forensic Investigation of Digital Images

2. TUT database for acoustic scene classification and sound event detection

3. Segmentation and characterization of acoustic event spectrograms using singular value decomposition

4. Evaluation of influence of spectral and prosodic features on gmm classification of czech and slovak emotional speech;p?ibil;EURASIP Journal on Audio Speech and Music Processing,2013

5. Unsupervised feature learning for urban sound classification

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