[PDF][PDF] A review on deep learning-based structural health monitoring of civil infrastructures
XW Ye, T **, CB Yun - Smart Struct. Syst, 2019 - researchgate.net
In the past two decades, structural health monitoring (SHM) systems have been widely
installed on various civil infrastructures for the tracking of the state of their structural health …
installed on various civil infrastructures for the tracking of the state of their structural health …
[HTML][HTML] Research and applications of artificial neural network in pavement engineering: a state-of-the-art review
Given the great advancements in soft computing and data science, artificial neural network
(ANN) has been explored and applied to handle complicated problems in the field of …
(ANN) has been explored and applied to handle complicated problems in the field of …
Machine learning approach for pavement performance prediction
P Marcelino, M de Lurdes Antunes… - … Journal of Pavement …, 2021 - Taylor & Francis
In recent years, there has been an increasing interest in the application of machine learning
for the prediction of pavement performance. Prediction models are used to predict the future …
for the prediction of pavement performance. Prediction models are used to predict the future …
Image based techniques for crack detection, classification and quantification in asphalt pavement: a review
Pavement condition information is a significant component in Pavement Management
Systems. The labeling and quantification of the type, severity, and extent of surface cracking …
Systems. The labeling and quantification of the type, severity, and extent of surface cracking …
International Roughness Index prediction model for flexible pavements
Abstract International Roughness Index (IRI) is a pavement performance indicator which
reflects not only the pavement condition but also the ride quality and comfort level of road …
reflects not only the pavement condition but also the ride quality and comfort level of road …
An ensemble learning model for asphalt pavement performance prediction based on gradient boosting decision tree
R Guo, D Fu, G Sollazzo - International Journal of Pavement …, 2022 - Taylor & Francis
This paper proposes an ensemble learning model that deploys a Gradient Boosting
Decision Tree (GBDT) to predict two relevant functional indices, the International roughness …
Decision Tree (GBDT) to predict two relevant functional indices, the International roughness …
[HTML][HTML] Predicting pavement condition index using artificial neural networks approach
Abstract Pavement Condition Index (PCI) is a numerical assessment of pavement conditions
based on existing distresses. The PCI values are used for pavement management and …
based on existing distresses. The PCI values are used for pavement management and …
An ANN model to correlate roughness and structural performance in asphalt pavements
In this paper, using a large database from the Long Term Pavement Performance program,
the authors developed an Artificial Neural Network (ANN) to estimate the structural …
the authors developed an Artificial Neural Network (ANN) to estimate the structural …
Performance of machine learning algorithms in predicting the pavement international roughness index
Significant research efforts have documented the capabilities of machine learning (ML)
algorithms to model pavement performance. Several challenges, however, limit the …
algorithms to model pavement performance. Several challenges, however, limit the …
Development of the road pavement deterioration model based on the deep learning method
S Choi, M Do - Electronics, 2019 - mdpi.com
In Korea, data on pavement conditions, such as cracks, rutting depth, and the international
roughness index, are obtained using automatic pavement condition investigation …
roughness index, are obtained using automatic pavement condition investigation …