A deep learning-based approach for the identification of a multi-parameter BWBN model

Z Li, M Noori, C Wan, B Yu, B Wang, WA Altabey - Applied Sciences, 2022 - mdpi.com
A restoring-force model is a versatile mathematical model that can describe the relationship
between the restoring force and the deformation obtained from a large number of …

Hysteresis in engineering systems

M Noori, WA Altabey - Applied Sciences, 2022 - mdpi.com
2. Objectives The main objective of this proposed Special Issue is to collect contributions
from active researchers in the field of hysteresis and from structural, electrical, materials, and …

[HTML][HTML] A simplified beam model for the numerical analysis of masonry arch bridges–A case study of the Veresk railway bridge

A Rahimi, SBB Aval, M Noori, V Sarhosis, Z Wu… - Structures, 2022 - Elsevier
This paper presents the development of a simplified analytical model, able to substitute high
fidelity-three-dimensional (3D) finite element (FE) models, for the analysis of complex …

Research in image processing for pipeline crack detection applications

WA Altabey, SA Kouritem, MI Abouheaf… - 2022 International …, 2022 - ieeexplore.ieee.org
Pipelines, such as gas and utility pipeline systems and networks, are some of the most
critical components of civil infrastructure. During the long-term operation of the pipeline …

A deep learning-based approach for pipeline cracks monitoring

WA Altabey, SA Kouritem, MI Abouheaf… - 2022 International …, 2022 - ieeexplore.ieee.org
In order to improve the efficiency and accuracy of pipeline surface cracks monitoring based
on image processing, the Convolutional Neural Network (CNN) algorithm in target detection …

Research of pavement crack detection system based on image processing

X Yanliang, Z Chuanyue, S Gongzuo… - … on Computer Vision …, 2023 - spiedigitallibrary.org
With the continuous development of the social economy, road traffic plays an increasingly
significant role in the national economy and people's lives. Traffic has become one of the …

A Structural Health Monitoring Technique for the Analysis of Big Data of Bridges

A Silik, W Hong, J Li, M Mao, M Noori… - Proceedings of the 4th …, 2022 - Springer
Big data (BD) in structural health monitoring for civil engineers has become possible
because of recent advances in sensor networks, computing, information, and data …

Artificial intelligence technique for pavement diseases identification

W Hong, J Wang, D Guo, X Wang, G Shi, Y Xu… - Proceedings of the 4th …, 2022 - dl.acm.org
With the rapid development of road traffic construction, road maintenance and management
tasks also follow. In particular, a number of high-grade highways built in the early stage have …

Machine vision-based structural diagnosis application

W Hong, M Noori, H Jiang, Y Liu… - Proceedings of the 4th …, 2022 - Springer
The wide development in deep learning (DL) application in different fields such as speech
recognition, computer vision, and natural language processing has been done by different …

[PDF][PDF] Damage Identification in Bridges Based on WPECD Transform

W Hong, H Li, Y Xu, C Zhang, J Li, M Noori… - … of Proceedings of …, 2023 - academia.edu
Bridges suffer damage throughout their lives due to variations in the performance of the
materials, loads, and other uncontrollable factors. During the service period of the structure …