[HTML][HTML] Automatic damage detection and diagnosis for hydraulic structures using drones and artificial intelligence techniques

Y Zhu, H Tang - Remote Sensing, 2023 - mdpi.com
Large-volume hydraulic concrete structures, such as concrete dams, often suffer from
damage due to the influence of alternating loads and material aging during the service …

[HTML][HTML] Advancements in Smart Nondestructive Evaluation of Industrial Machines: A Comprehensive Review of Computer Vision and AI Techniques for Infrastructure …

S Mohammadi, S Sattarpanah Karganroudi… - Machines, 2024 - mdpi.com
Infrastructure maintenance is critical to ensuring public safety and the longevity of essential
structures. Nondestructive Evaluation (NDE) techniques allow for infrastructure inspection …

Visual Concrete Bridge Defect Classification and Detection Using Deep Learning: A Systematic Review

D Amirkhani, MS Allili, L Hebbache… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Visual inspection is an important process for maintaining bridges in road transportation
systems, and preventing catastrophic events and tragedies. In this process, accurate and …

Post-flood disaster damaged houses classification based on dual-view image fusion and Concentration-Based Attention Module

L Wu, J Tong, Z Wang, J Li, M Li, H Li, Y Feng - Sustainable Cities and …, 2024 - Elsevier
Flood disasters inflict immense devastation upon buildings, and the post-disaster
assessment of housing damage levels is of paramount importance in safeguarding resident …

Deep learning‐based automatic classification of three‐level surface information in bridge inspection

H Zhang, Z Shen, Z Lin, L Quan… - Computer‐Aided Civil …, 2024 - Wiley Online Library
Bridge inspection ensures that in‐service bridges are managed and maintained in
conformity. To enhance the accuracy and efficiency of bridge inspection, an automatic …

Tiny-machine-learning-based supply canal surface condition monitoring

C Huang, X Sun, Y Zhang - Sensors, 2024 - mdpi.com
The South-to-North Water Diversion Project in China is an extensive inter-basin water
transfer project, for which ensuring the safe operation and maintenance of infrastructure …

UnetEdge: A transfer learning-based framework for road feature segmentation from high-resolution remote sensing images

M Dey, PS Prakash, BH Aithal - Remote Sensing Applications: Society and …, 2024 - Elsevier
Topological information is a crucial factor affecting road feature extraction using semantic
segmentation. Many segmentation models have recently been developed for road feature …

Deterioration detection in historical buildings with different materials based on novel deep learning methods with focusing on Isfahan historical bridges

N Karimi, N Valibeig, HR Rabiee - International Journal of …, 2024 - Taylor & Francis
Historical bridges comprise part of any society's history, culture, and identity and reveal the
manufacturing technology of hydraulic structures at their time. Nevertheless, these structures …

[HTML][HTML] An investigation into real-time surface crack classification and measurement for structural health monitoring using transfer learning convolutional neural …

M Mazni, AR Husain, MI Shapiai, IS Ibrahim… - Alexandria Engineering …, 2024 - Elsevier
This study introduces a pioneering system for real-time classification and measurement of
concrete surface cracks, a crucial aspect of Structural Health Monitoring (SHM). We harness …

Localization of Cracks in Concrete Structures Lacking Reference Objects and Feature Points Using an Unmanned Aerial Vehicle

SC Baek, J Oh, HJ Woo, IH Kim, S Jang - Applied Sciences, 2023 - mdpi.com
Information on the location of cracks in concrete structures is an important factor enabling
appropriate maintenance or reinforcement measures to be taken. Most studies related to …