State-of-the-art review on advancements of data mining in structural health monitoring
To date, data mining (DM) techniques, ie artificial intelligence, machine learning, and
statistical methods have been utilized in a remarkable number of structural health monitoring …
statistical methods have been utilized in a remarkable number of structural health monitoring …
Machine learning techniques for pavement condition evaluation
N Sholevar, A Golroo, SR Esfahani - Automation in Construction, 2022 - Elsevier
Pavement management systems play a significant role in country's economy since road
authorities are concerned about preserving their priceless road assets for a longer time to …
authorities are concerned about preserving their priceless road assets for a longer time to …
[HTML][HTML] New innovations in pavement materials and engineering: A review on pavement engineering research 2021
Sustainable and resilient pavement infrastructure is critical for current economic and
environmental challenges. In the past 10 years, the pavement infrastructure strongly …
environmental challenges. In the past 10 years, the pavement infrastructure strongly …
Classification and analysis of deep learning applications in construction: A systematic literature review
R Khallaf, M Khallaf - Automation in construction, 2021 - Elsevier
In recent years, the construction industry has experienced an expansion in the multitude of
projects and emergent information. With the advent of deep learning, new opportunities …
projects and emergent information. With the advent of deep learning, new opportunities …
Cross‐scene pavement distress detection by a novel transfer learning framework
Deep learning has achieved promising results in pavement distress detection. However, the
training model's effectiveness varies according to the data and scenarios acquired by …
training model's effectiveness varies according to the data and scenarios acquired by …
Adaboost algorithm in artificial intelligence for optimizing the IRI prediction accuracy of asphalt concrete pavement
C Wang, S Xu, J Yang - Sensors, 2021 - mdpi.com
The international roughness index (IRI) for roads is a crucial pavement design criterion in
the Mechanistic-Empirical Pavement Design Guide (MEPDG). However, studies have shown …
the Mechanistic-Empirical Pavement Design Guide (MEPDG). However, studies have shown …
Large-scale pavement roughness measurements with vehicle crowdsourced data using semi-supervised learning
Rapid measurements of large-scale pavement roughness have long been a hot topic in
pavement condition evaluation and maintenance. Most traditional methods rely on …
pavement condition evaluation and maintenance. Most traditional methods rely on …
Automatic railroad track components inspection using real‐time instance segmentation
Abstract In the United States, to ensure railroad safety and keep its efficient operation,
regular track inspections on track component defects are required by the Federal Railroad …
regular track inspections on track component defects are required by the Federal Railroad …
Deformation forecasting of a hydropower dam by hybridizing a long short‐term memory deep learning network with the coronavirus optimization algorithm
The safety operation and management of hydropower dam play a critical role in social‐
economic development and ensure people's safety in many countries; therefore, modeling …
economic development and ensure people's safety in many countries; therefore, modeling …
Machine learning and image processing approaches for estimating concrete surface roughness using basic cameras
A Valikhani, A Jaberi Jahromi… - … ‐Aided Civil and …, 2021 - Wiley Online Library
Casting concrete at different ages for new construction and repairing or retrofitting concrete
structures requires a sufficient bond between concrete casts. The bond strength between …
structures requires a sufficient bond between concrete casts. The bond strength between …