[HTML][HTML] Construction and maintenance of urban underground infrastructure with digital technologies
Urban underground infrastructure is a critical component in cities to provide essential
services to residents. Research efforts have been made to facilitate different activities of …
services to residents. Research efforts have been made to facilitate different activities of …
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 …
Tiny‐Crack‐Net: A multiscale feature fusion network with attention mechanisms for segmentation of tiny cracks
Convolutional neural networks (CNNs) have gained growing interest in recent years for their
advantages in detecting cracks on concrete bridge components. Class imbalance is a …
advantages in detecting cracks on concrete bridge components. Class imbalance is a …
Crack detection using fusion features‐based broad learning system and image processing
Deep learning has been widely applied to vision‐based structural damage detection, but its
computational demand is high. To avoid this computational burden, a novel crack detection …
computational demand is high. To avoid this computational burden, a novel crack detection …
Prompt engineering for zero‐shot and few‐shot defect detection and classification using a visual‐language pretrained model
Zero‐shot learning, applied with vision‐language pretrained (VLP) models, is expected to
be an alternative to existing deep learning models for defect detection, under insufficient …
be an alternative to existing deep learning models for defect detection, under insufficient …
Pavement crack detection algorithm based on generative adversarial network and convolutional neural network under small samples
B Xu, C Liu - Measurement, 2022 - Elsevier
Pavement crack detection methods based on deep learning and computer vision can greatly
improve detection efficiency and accuracy, but in many cases the data in training set is …
improve detection efficiency and accuracy, but in many cases the data in training set is …
Image-based reinforced concrete component mechanical damage recognition and structural safety rapid assessment using deep learning with frequency information
Safety assessment of post-event damaged structures is vital and significant because it
directly affects life security, structural repair, and economic loss, especially in earthquakes …
directly affects life security, structural repair, and economic loss, especially in earthquakes …
Semi-supervised learning and attention mechanism for weed detection in wheat
T Liu, X Jin, L Zhang, J Wang, Y Chen, C Hu, J Yu - Crop Protection, 2023 - Elsevier
Abstract Machine vision-based precision herbicide application in wheat (Triticum aestivum
L.) can substantially reduce herbicide input. However, detecting newly emerged weeds in …
L.) can substantially reduce herbicide input. However, detecting newly emerged weeds in …
A night pavement crack detection method based on image‐to‐image translation
C Liu, B Xu - Computer‐Aided Civil and Infrastructure …, 2022 - Wiley Online Library
Deep learning provides an efficient automated method for pavement condition surveys, but
the datasets used for this model are usually images taken in good lighting conditions. If …
the datasets used for this model are usually images taken in good lighting conditions. If …
Deep convolution generative adversarial network-based electroencephalogram data augmentation for post-stroke rehabilitation with motor imagery
The motor imagery brain–computer interface (MI-BCI) system is currently one of the most
advanced rehabilitation technologies, and it can be used to restore the motor function of …
advanced rehabilitation technologies, and it can be used to restore the motor function of …