Smart City Traffic Management: Acoustic-Based Vehicle Detection Using Stacking-Based Ensemble Deep Learning Approach-Reference-Cited by-同舟云学术

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Smart City Traffic Management: Acoustic-Based Vehicle Detection Using Stacking-Based Ensemble Deep Learning Approach

Published:2024 Issue: Volume:12 Page:35947-35956
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Shabbir Ahsan¹^ORCID,Cheema Ammara Nawaz²^ORCID,Ullah Inam¹,Almanjahie Ibrahim M.³^ORCID,Alshahrani Fatimah⁴

Affiliation:

1. Department of Creative Technology, Faculty of Computing and Artificial Intelligence, Air University, Islamabad, Pakistan

2. Department of Mathematics, Air University, Islamabad, Pakistan

3. Department of Mathematics, College of Science, King Khalid University, Abha, Saudi Arabia

4. Department of Mathematical Sciences, College of Science, Princess Nourah bint Abdulrahman University, P.O Box 84428, Riyadh, Saudi Arabia

Funder

Princess Nourah bint Abdulrahman University Researchers

Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

Deanship of Scientific Research at King Khalid University through the Research Groups Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10445471.pdf?arnumber=10445471

Reference20 articles.

1. Content analysis for audio classification and segmentation

2. Evaluation of green walls as a passive acoustic insulation system for buildings

3. Trends in audio signal feature extraction methods

4. A Comparative Survey of Feature Extraction and Machine Learning Methods in Diverse Acoustic Environments

5. Environment Sound Classification Using a Two-Stream CNN Based on Decision-Level Fusion

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