A review of UAV integration in forensic civil engineering: From sensor technologies to geotechnical, structural and water infrastructure applications

SY Kim, DY Kwon, A Jang, YK Ju, JS Lee, S Hong - Measurement, 2023 - Elsevier
Unmanned aerial vehicles (UAVs) mounted with remote sensors have been widely used in
architectural, civil, and environmental engineering fields. In particular, UAVs are applied for …

Dual-path network combining CNN and transformer for pavement crack segmentation

J Wang, Z Zeng, PK Sharma, O Alfarraj, A Tolba… - Automation in …, 2024 - Elsevier
Cracks are one of the most common pavement surface diseases. Timely repair of these
cracks is imperative to prevent a substantial reduction in the pavement's service life …

[HTML][HTML] Crack segmentation of imbalanced data: The role of loss functions

Q Du Nguyen, HT Thai - Engineering Structures, 2023 - Elsevier
Loss functions, which govern a deep learning-based optimization process, have been
widely investigated to handle the class imbalanced data issue in crack segmentation …

Discovery and classification of defects on facing brick specimens using a convolutional neural network

AN Beskopylny, EM Shcherban', SA Stel'makh… - Applied Sciences, 2023 - mdpi.com
In recent years, visual automatic non-destructive testing using machine vision algorithms
has been widely used in industry. This approach for detecting, classifying, and segmenting …

Drone-assisted segmentation of tile peeling on building façades using a deep learning model

MT Cao - Journal of Building Engineering, 2023 - Elsevier
The need for precise segmentation of tile peeling on building façades is emphasized by its
implications for efficient building maintenance, particularly in regions like Taiwan, where …

Automated detection and segmentation of cracks in concrete surfaces using joined segmentation and classification deep neural network

D Tabernik, M Šuc, D Skočaj - Construction and Building Materials, 2023 - Elsevier
Automated quality control of pavement and concrete surfaces is essential for maintaining
structural integrity and consistency in the construction and infrastructure industries. This …

[HTML][HTML] Automatic multi-leaf nonperiodic block-by-block pattern generation and computational analysis of historical masonry structures

M Pereira, AM D'Altri, S de Miranda, B Glisic - Engineering Structures, 2023 - Elsevier
In this paper, an automatic block-by-block pattern generator is proposed for multi-leaf
nonperiodic masonries. The outcome is then directly employed in block-based …

Building surface crack detection using deep learning technology

Y Chen, Z Zhu, Z Lin, Y Zhou - Buildings, 2023 - mdpi.com
Cracks in building facades are inevitable due to the age of the building. Cracks found in the
building facade may be further exacerbated if not corrected immediately. Considering the …

Crack pattern–based machine learning prediction of residual drift capacity in damaged masonry walls

M Pereira, AM D'Altri, S de Miranda… - Computer‐Aided Civil …, 2024 - Wiley Online Library
In this paper, we present a method based on an ensemble of convolutional neural networks
(CNNs) for the prediction of residual drift capacity in unreinforced damaged masonry walls …

CDD-TR: Automated concrete defect investigation using an improved deformable transformers

M Dang, H Wang, TH Nguyen, L Tightiz, LD Tien… - Journal of Building …, 2023 - Elsevier
Public infrastructures, such as bridges, dams, and buildings, play a key role in urban
development. Structural inspection by visually monitoring and inspecting the structures for …