Surface defect detection of civil structures using images: Review from data perspective
As civil structures age and deteriorate, it becomes crucial to conduct structural health
monitoring (SHM) to ensure safety and timely maintenance. Surface defect detection plays a …
monitoring (SHM) to ensure safety and timely maintenance. Surface defect detection plays a …
Pavement defect detection with deep learning: A comprehensive survey
Pavement defect detection is of profound significance regarding road safety, so it has been a
trending research topic. In the past years, deep learning based methods have turned into a …
trending research topic. In the past years, deep learning based methods have turned into a …
Crack detection of concrete structures using deep convolutional neural networks optimized by enhanced chicken swarm algorithm
With the rapid increase of ageing infrastructures worldwide, effective and robust inspection
techniques are highly demanding to evaluate structural conditions and residual lifetime. The …
techniques are highly demanding to evaluate structural conditions and residual lifetime. The …
The classification and localization of crack using lightweight convolutional neural network with CBAM
L Chen, H Yao, J Fu, CT Ng - Engineering Structures, 2023 - Elsevier
Abstract Convolutional Neural Networks (CNNs) are currently often used for crack detection.
However, the crack datasets collected in real engineering are imbalanced datasets and are …
However, the crack datasets collected in real engineering are imbalanced datasets and are …
[HTML][HTML] Deep fake detection and classification using error-level analysis and deep learning
Due to the wide availability of easy-to-access content on social media, along with the
advanced tools and inexpensive computing infrastructure, has made it very easy for people …
advanced tools and inexpensive computing infrastructure, has made it very easy for people …
Skin cancer classification based on an optimized convolutional neural network and multicriteria decision-making
Skin cancer is a type of cancer disease in which abnormal alterations in skin characteristics
can be detected. It can be treated if it is detected early. Many artificial intelligence-based …
can be detected. It can be treated if it is detected early. Many artificial intelligence-based …
[HTML][HTML] A review of deep learning methods for pixel-level crack detection
H Li, W Wang, M Wang, L Li, V Vimlund - Journal of Traffic and …, 2022 - Elsevier
Cracks are a major sign of aging transportation infrastructure. The detection and repair of
cracks is the key to ensuring the overall safety of the transportation infrastructure. In recent …
cracks is the key to ensuring the overall safety of the transportation infrastructure. In recent …
Assessment of convolutional neural network pre-trained models for detection and orientation of cracks
Failure due to cracks is a major structural safety issue for engineering constructions. Human
examination is the most common method for detecting crack failure, although it is subjective …
examination is the most common method for detecting crack failure, although it is subjective …
A fast inference vision transformer for automatic pavement image classification and its visual interpretation method
Traditional automatic pavement distress detection methods using convolutional neural
networks (CNNs) require a great deal of time and resources for computing and are poor in …
networks (CNNs) require a great deal of time and resources for computing and are poor in …
Detection of damages caused by earthquake and reinforcement corrosion in RC buildings with Deep Transfer Learning
Abstract The Reinforced Concrete (RC) buildings in countries within earthquake zones like
Turkey are generally damaged more than anticipated during earthquakes. Corrosion of …
Turkey are generally damaged more than anticipated during earthquakes. Corrosion of …