Machine learning in concrete science: applications, challenges, and best practices
Concrete, as the most widely used construction material, is inextricably connected with
human development. Despite conceptual and methodological progress in concrete science …
human development. Despite conceptual and methodological progress in concrete science …
Structural crack detection using deep convolutional neural networks
Abstract Convolutional Neural Networks (CNN) have immense potential to solve a broad
range of computer vision problems. It has achieved encouraging results in numerous …
range of computer vision problems. It has achieved encouraging results in numerous …
DenseSPH-YOLOv5: An automated damage detection model based on DenseNet and Swin-Transformer prediction head-enabled YOLOv5 with attention mechanism
Objective. Computer vision-based up-to-date accurate damage classification and
localization are of decisive importance for infrastructure monitoring, safety, and the …
localization are of decisive importance for infrastructure monitoring, safety, and the …
A systematic review of convolutional neural network-based structural condition assessment techniques
With recent advances in non-contact sensing technology such as cameras, unmanned aerial
and ground vehicles, the structural health monitoring (SHM) community has witnessed a …
and ground vehicles, the structural health monitoring (SHM) community has witnessed a …
Automatic classification of asphalt pavement cracks using a novel integrated generative adversarial networks and improved VGG model
Crack development is increasingly intensified and causes pavement damage in recent
decades under extreme weather events. Although various auto-or semi-auto crack …
decades under extreme weather events. Although various auto-or semi-auto crack …
Surface defect detection methods for industrial products: A review
Y Chen, Y Ding, F Zhao, E Zhang, Z Wu, L Shao - Applied Sciences, 2021 - mdpi.com
The comprehensive intelligent development of the manufacturing industry puts forward new
requirements for the quality inspection of industrial products. This paper summarizes the …
requirements for the quality inspection of industrial products. This paper summarizes the …
Performance evaluation of deep CNN-based crack detection and localization techniques for concrete structures
This paper proposes a customized convolutional neural network for crack detection in
concrete structures. The proposed method is compared to four existing deep learning …
concrete structures. The proposed method is compared to four existing deep learning …
Deep learning-based road damage detection and classification for multiple countries
Many municipalities and road authorities seek to implement automated evaluation of road
damage. However, they often lack technology, know-how, and funds to afford state-of-the-art …
damage. However, they often lack technology, know-how, and funds to afford state-of-the-art …
Defect detection methods for industrial products using deep learning techniques: A review
A Saberironaghi, J Ren, M El-Gindy - Algorithms, 2023 - mdpi.com
Over the last few decades, detecting surface defects has attracted significant attention as a
challenging task. There are specific classes of problems that can be solved using traditional …
challenging task. There are specific classes of problems that can be solved using traditional …
Robots in inspection and monitoring of buildings and infrastructure: A systematic review
Regular inspection and monitoring of buildings and infrastructure, that is collectively called
the built environment in this paper, is critical. The built environment includes commercial and …
the built environment in this paper, is critical. The built environment includes commercial and …