Optimal Fuzzy Wavelet Neural Network Based Road Damage Detection-Reference-Cited by-同舟云学术

Optimal Fuzzy Wavelet Neural Network Based Road Damage Detection

Published:2023 Issue: Volume:11 Page:61986-61994
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Alamgeer Mohammad¹,Alkahtani Hend Khalid²^ORCID,Maashi Mashael³,Othman Mahmoud⁴^ORCID,Hilal Anwer Mustafa⁵^ORCID,Alsaid Mohamed Ibrahim⁵,Osman Azza Elneil⁵,Alneil Amani A.⁵

Affiliation:

1. Department of Information Systems, College of Science and Art at Mahayil, King Khalid University, Muhayil Assir, Saudi Arabia

2. Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

3. Department of Software Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia

4. Department of Computer Science, Faculty of Computers and Information Technology, Future University in Egypt, New Cairo, Egypt

5. Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam bin Abdulaziz University, Alkharj, Saudi Arabia

Funder

Deanship of Scientific Research at King Khalid University for funding this work through Large Groups Project

Princess Nourah bint Abdulrahman University Researchers Supporting Project

Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia. Research

via funding from Prince Sattam bin Abdulaziz University project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10145449.pdf?arnumber=10145449

Reference25 articles.

1. An Asphalt Damage Dataset and Detection System Based on RetinaNet for Road Conditions Assessment

2. Road Damage Detection From Post-Disaster High-Resolution Remote Sensing Images Based on TLD Framework

3. Road damage detection using super-resolution and semi-supervised learning with generative adversarial network

4. Concrete Road Crack Detection Using Deep Learning-Based Faster R-CNN Method

5. Road Damage Detection Using the Hunger Games Search with Elman Neural Network on High-Resolution Remote Sensing Images

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