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[HTML][HTML] Computer vision-based bridge inspection and monitoring: A review
Bridge inspection and monitoring are usually used to evaluate the status and integrity of
bridge structures to ensure their safety and reliability. Computer vision (CV)-based methods …
bridge structures to ensure their safety and reliability. Computer vision (CV)-based methods …
Recent advances in use of bio-inspired jellyfish search algorithm for solving optimization problems
The complexity of engineering optimization problems is increasing. Classical gradient-
based optimization algorithms are a mathematical means of solving complex problems …
based optimization algorithms are a mathematical means of solving complex problems …
Comparison of histogram-based gradient boosting classification machine, random Forest, and deep convolutional neural network for pavement raveling severity …
H Nhat-Duc, T Van-Duc - Automation in construction, 2023 - Elsevier
Raveling is a widely encountered defect found in asphalt pavements. Raveling deteriorates
riding safety and accelerates the development of other pavement defects. Therefore, timely …
riding safety and accelerates the development of other pavement defects. Therefore, timely …
Computer vision-based classification of concrete spall severity using metaheuristic-optimized extreme gradient boosting machine and deep convolutional neural …
This paper presents alternative solutions for classifying concrete spall severity based on
computer vision approaches. Extreme Gradient Boosting Machine (XGBoost) and Deep …
computer vision approaches. Extreme Gradient Boosting Machine (XGBoost) and Deep …
A comparative study on crack detection in concrete walls using transfer learning techniques
Structural cracks have serious repercussions on the safety, adaptability, and longevity of
structures. Therefore, assessing cracks is an important parameter when evaluating the …
structures. Therefore, assessing cracks is an important parameter when evaluating the …
Review of image-processing-based technology for structural health monitoring of civil infrastructures
JW Kim, HW Choi, SK Kim, WS Na - Journal of Imaging, 2024 - mdpi.com
The continuous monitoring of civil infrastructures is crucial for ensuring public safety and
extending the lifespan of structures. In recent years, image-processing-based technologies …
extending the lifespan of structures. In recent years, image-processing-based technologies …
Concrete spalling detection system based on semantic segmentation using deep architectures
This paper presents a method for detecting the location of spalling and assessing the
severity level of the spalling in concrete surfaces. The proposed method is constructed …
severity level of the spalling in concrete surfaces. The proposed method is constructed …
Feasibility study of drone-based 3-D measurement of defects in concrete structures
D Marchisotti, E Zappa - IEEE Transactions on Instrumentation …, 2022 - ieeexplore.ieee.org
Recognition of defects in concrete structures, identification of cracks, concrete spalling, or
other geometrical defects are important tools for structural damage detection. Defects in …
other geometrical defects are important tools for structural damage detection. Defects in …
Multidamage identification in high-resolution concrete bridge component imagery based on deep learning
HE Tang, TH Yi, SH Zhang, C Li - Journal of Performance of …, 2024 - ascelibrary.org
The identification of damage to concrete bridge surfaces is of great significance to
maintaining the durability and reliability of bridges. However, it is difficult to identify small …
maintaining the durability and reliability of bridges. However, it is difficult to identify small …
A hybrid method for strand looseness identification in post-tensioned system using FEM and ANN
While prestressing technology is increasingly implemented in civil infrastructures worldwide,
on-site identification of loosened strands and estimation of looseness extent remain a …
on-site identification of loosened strands and estimation of looseness extent remain a …