[HTML][HTML] Experimental Investigation of Concrete Crack Depth Detection Using a Novel Piezoelectric Transducer and Improved AIC Algorithm

W Li, J Zhu, K Mu, W Yang, X Zhang, X Zhao - Buildings, 2024 - mdpi.com
Ultrasonic pulse velocity (UPV) has shown effectiveness in determining the depth of surface-
open cracks in concrete structures. The type of transducer and the algorithm for extracting …

A deep learning framework for real-time multi-task recognition and measurement of concrete cracks

G Xu, Y Zhang, Q Yue, X Liu - Advanced Engineering Informatics, 2025 - Elsevier
This study presents an innovative deep learning framework, YOLO-DL, for automatic multi-
task recognition of concrete cracks. The framework integrates the You Only Look Once …

Unsupervised PG-DDPM-augmented mixed dataset for training an accurate concrete bridge crack detection model under small samples

J Deng, L Hua, Y Lu, C Wang, J Che - Measurement, 2025 - Elsevier
Infrastructure inspections generally cannot provide sufficient data for model training to
automate its procedure of damage detection. Therefore, this study proposed a two-stepped …

A DSF-net-based approach to dual-branch instance segmentation of weak bridge defects

H Zhang, R Shen, J Lei, Z Shen, Z Zhang, Y Zhou - Engineering Structures, 2025 - Elsevier
Restricted by the uniqueness of bridge structures and safety requirements of imaging
devices, there are numerous challenges in computer vision-based identification of structural …

An automatic arrival time picking algorithm of ultrasonic waves for concrete crack depth detection

J Zhu, W Li, K Mu, X Zhang, X Zhao - Engineering Structures, 2025 - Elsevier
Accurately and quickly picking up the arrival time of ultrasonic waves is crucial for detecting
concrete cracks by using the ultrasonic pulse echo method. In order to determine the arrival …

Machine vision-based technology for the interface classification of precast concrete components

Y Zhao, Z Wang, J Liu, B Zhang - Engineering Structures, 2025 - Elsevier
The interfaces of precast concrete components serve as connections between components.
The quality of these interfaces affects not only the bonding strength between the …

Benchmarking YOLOv8 for Optimal Crack Detection in Civil Infrastructure

WZ Taffese, R Sharma, MH Afsharmovahed… - arXiv preprint arXiv …, 2025 - arxiv.org
Ensuring the structural integrity and safety of bridges is crucial for the reliability of
transportation networks and public safety. Traditional crack detection methods are …

Fundus Image Classification for Detecting Diabetic Retinopathy Using Convolutional Neural Network with Adam Optimizer

A Mulyani, MA Soeleman - … on ICT for Smart Society (ICISS), 2024 - ieeexplore.ieee.org
Image classification is labeling images into one of several predetermined classes. Using
image classification for early detection of eye diseases is essential in improving patient …

Filter Gabor and SMOTE Method-Based Convolutional Neural Network for Diabetic Retinopathy Classification

A Mulyani, MA Soeleman - 2024 International Seminar on …, 2024 - ieeexplore.ieee.org
Diabetic Retinopathy is a disorder of the retina that occurs in people with diabetes and has
an increasing risk with age. To prevent the worst risk of blindness, treatment and early …