A review of emerging technologies for an assessment of safety and seismic vulnerability and damage detection of existing masonry structures

M Stepinac, M Gašparović - Applied Sciences, 2020 - mdpi.com
The construction sector has proven to be one of the slowest sectors to embrace technology—
a problem that must be addressed. This problem can be quickly and efficiently addressed in …

Automatic detection of concrete spalling using piecewise linear stochastic gradient descent logistic regression and image texture analysis

ND Hoang, QL Nguyen, XL Tran - Complexity, 2019 - Wiley Online Library
Recognition of spalling on surface of concrete wall is crucial in building condition survey.
Early detection of this form of defect can help to develop cost‐effective rehabilitation …

An efficient clustering algorithm based on the k-nearest neighbors with an indexing ratio

R Qaddoura, H Faris, I Aljarah - International Journal of Machine Learning …, 2020 - Springer
Clustering is a challenging problem that is commonly used for many applications. It aims at
finding the similarity between data points and grouping similar ones into the same cluster. In …

Automatic mapping of cracking patterns on concrete surfaces with biological stains using hyper‐spectral images processing

B Oliveira Santos, J Valenca… - Structural Control and …, 2019 - Wiley Online Library
Despite all technological advances, mapping cracks on concrete structures mostly remains
to be evaluated through sketches based on on‐site observation and photographs. Methods …

MSCNet: a framework with a texture enhancement mechanism and feature aggregation for crack detection

G Lu, X He, Q Wang, F Shao, J Wang, X Zhao - IEEE Access, 2022 - ieeexplore.ieee.org
Bridge crack is one of the critical optical and visual information to judge the health state of
bridges. The bridge crack detection methods based on artificial intelligence are essential in …

Automatic monitoring of the biocolonisation of historical building's facades through convolutional neural networks (CNN)

M D'Orazio, A Gianangeli, F Monni… - Journal of Cultural …, 2024 - Elsevier
Built cultural heritage is exposed to various deterioration problems caused by different types
of actions. To reduce the need for major interventions, preventive conservation (PC) …

[PDF][PDF] Empirical Evaluation of Distance Measures for Nearest Point with Indexing Ratio Clustering Algorithm.

R Qaddoura, H Faris, I Aljarah, JJM Guervós… - IJCCI, 2020 - scitepress.org
Selecting the proper distance measure is very challenging for most clustering algorithms.
Some common distance measures include Manhattan (City-block), Euclidean, Minkowski …

A Robust and Real-Time Hyper-Spectral Sensor-Fusion Model for Concrete Crack Segmentation

M Steiner, N Baumann, L Lebovitz… - 2023 IEEE Sensors …, 2023 - ieeexplore.ieee.org
Structural defects in civil infrastructure, such as highways, roads, bridges, and dams, can
severely impact their reliability and safety. Manual inspection of such infrastructure is labor …

Efflorescence assessment using hyperspectral imaging for concrete structures

B Kim, S Cho - Smart Structures and Systems, An International Journal, 2018 - dbpia.co.kr
Efflorescence is a phenomenon primarily caused by a carbonation process in concrete
structures. Efflorescence can cause concrete degradation in the long term; therefore, it must …

Early Detection of Facing-Masonry Surface Biodeterioration through Convolutional Neural Networks

M D'Orazio, A Gianangeli, F Monni… - … Conference of Ar. Tec …, 2024 - Springer
Preventive conservation is the proposed and recommended approach to preserve historic
building heritage from deterioration problems caused by several types of actions. It is based …