[HTML][HTML] Deep learning-based structural health monitoring
This article provides a comprehensive review of deep learning-based structural health
monitoring (DL-based SHM). It encompasses a broad spectrum of DL theories and …
monitoring (DL-based SHM). It encompasses a broad spectrum of DL theories and …
Bibliometric analysis and review of deep learning-based crack detection literature published between 2010 and 2022
The use of deep learning (DL) in civil inspection, especially in crack detection, has
increased over the past years to ensure long-term structural safety and integrity. To achieve …
increased over the past years to ensure long-term structural safety and integrity. To achieve …
Brain tumor classification using hybrid single image super-resolution technique with ResNext101_32× 8d and VGG19 pre-trained models
High-quality images acquired from medical devices can be utilized to aid diagnosis and
detection of various diseases. However, such images can be very expensive to acquire and …
detection of various diseases. However, such images can be very expensive to acquire and …
Crack detection and classification in moroccan pavement using convolutional neural network
Crack is a condition indicator of the pavement's structure. Generally, crack detection is an
essential task for effective diagnosis of the road network. Moreover, evaluation of road …
essential task for effective diagnosis of the road network. Moreover, evaluation of road …
[HTML][HTML] Evaluation and optimisation of pre-trained CNN models for asphalt pavement crack detection and classification
S Matarneh, F Elghaish, FP Rahimian… - Automation in …, 2024 - Elsevier
This study explored the performance of ten pre-trained CNN architectures in detecting and
classifying asphalt pavement cracks from images. A comparison of eight optimisation …
classifying asphalt pavement cracks from images. A comparison of eight optimisation …
A real-time intelligent classification model using machine learning for tunnel surrounding rock and its application
Real-time and accurate prediction of surrounding rock grade is crucial for tunnel dynamic
construction and design. However, the internationally accepted semi-quantitative methods …
construction and design. However, the internationally accepted semi-quantitative methods …
Unmanned aerial vehicle-based computer vision for structural vibration measurement and condition assessment: A concise survey
With the rapid advance in camera sensor technology, the acquisition of high-resolution
images or videos has become extremely convenient and cost-effective. Computer vision that …
images or videos has become extremely convenient and cost-effective. Computer vision that …
Deep Learning for Automated Visual Inspection in Manufacturing and Maintenance: A Survey of Open-Access Papers
N Hütten, M Alves Gomes, F Hölken… - Applied System …, 2024 - mdpi.com
Quality assessment in industrial applications is often carried out through visual inspection,
usually performed or supported by human domain experts. However, the manual visual …
usually performed or supported by human domain experts. However, the manual visual …
Multi-layers deep learning model with feature selection for automated detection and classification of highway pavement cracks
F Elghaish, S Matarneh, E Abdellatef… - Smart and Sustainable …, 2024 - emerald.com
Purpose Cracks are prevalent signs of pavement distress found on highways globally. The
use of artificial intelligence (AI) and deep learning (DL) for crack detection is increasingly …
use of artificial intelligence (AI) and deep learning (DL) for crack detection is increasingly …
Artificial Intelligence and Deep Learning in Civil Engineering
Artificial intelligence is a variety of software developed that imitates the human brain to
perform the tasks that the human brain can do. Aiming to minimize human intervention, this …
perform the tasks that the human brain can do. Aiming to minimize human intervention, this …