Damage detection and localization in masonry structure using faster region convolutional networks
K Chaiyasarn, W Khan - GEOMATE Journal, 2019 - geomatejournal.com
With current modern technology, manual on-site inspection can be assisted by automatic
inspection, which is cost-effective, efficient and not subjective. In previous work, various …
inspection, which is cost-effective, efficient and not subjective. In previous work, various …
[PDF][PDF] Crack detection in historical structures based on convolutional neural network
Regular inspection and maintenance work is required to ensure the structural integrity of
historic structures, especially the masonry structures which are deteriorating due to ageing …
historic structures, especially the masonry structures which are deteriorating due to ageing …
[PDF][PDF] Crack detection in masonry structures using convolutional neural networks and support vector machines
Masonry structures in historical sites are deteriorating due to ageing and man-made
activities. Regular inspection and maintenance work is required to ensure the structural …
activities. Regular inspection and maintenance work is required to ensure the structural …
Automatic damage detection of historic masonry buildings based on mobile deep learning
Vision-based manual inspection technology for identifying and assessing superficial
damage of historic buildings is time-and labor-consuming. To overcome these limits, this …
damage of historic buildings is time-and labor-consuming. To overcome these limits, this …
Damage classification for masonry historic structures using convolutional neural networks based on still images
N Wang, Q Zhao, S Li, X Zhao… - Computer‐Aided Civil …, 2018 - Wiley Online Library
Manual inspection (ie, visual inspection and/or with professional equipment) is the most
predominant approach for identifying and assessing superficial damage of masonry historic …
predominant approach for identifying and assessing superficial damage of masonry historic …
Crack on brick wall detection by computer vision using machine learning
Age and human activity are eroding old masonry constructions. Historic buildings need
regular examination and care to maintain their integrity; Visual inspection is expensive, time …
regular examination and care to maintain their integrity; Visual inspection is expensive, time …
Prediction and measurement of damage to architectural heritages facades using convolutional neural networks
M Samhouri, L Al-Arabiat, F Al-Atrash - Neural Computing and …, 2022 - Springer
This paper set out an automatic multicategory damage detection technique using
convolutional neural networks (CNN) models based on image classification and features' …
convolutional neural networks (CNN) models based on image classification and features' …
Deep Learning-Based Automated Detection of Cracks in Historical Masonry Structures
K Hacıefendioğlu, AC Altunışık, T Abdioğlu - Buildings, 2023 - mdpi.com
The efficient and precise identification of cracks in masonry stone structures caused by
natural or human-induced factors within a specific region holds significant importance in …
natural or human-induced factors within a specific region holds significant importance in …
[HTML][HTML] Automatic crack classification and segmentation on masonry surfaces using convolutional neural networks and transfer learning
Masonry structures represent the highest proportion of building stock worldwide. Currently,
the structural condition of such structures is predominantly manually inspected which is a …
the structural condition of such structures is predominantly manually inspected which is a …
Automated masonry crack detection with faster R-CNN
Inspection of masonry buildings, typically railway bridges, for crack detection is currently
performed by humans under tedious and sometimes dangerous working conditions. Over …
performed by humans under tedious and sometimes dangerous working conditions. Over …