[HTML][HTML] The role of deep learning in urban water management: A critical review

G Fu, Y Jin, S Sun, Z Yuan, D Butler - Water Research, 2022 - Elsevier
Deep learning techniques and algorithms are emerging as a disruptive technology with the
potential to transform global economies, environments and societies. They have been …

[HTML][HTML] Machine learning in construction: From shallow to deep learning

Y Xu, Y Zhou, P Sekula, L Ding - Developments in the built environment, 2021 - Elsevier
The development of artificial intelligence technology is currently bringing about new
opportunities in construction. Machine learning is a major area of interest within the field of …

Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices

S Ahuja, BK Panigrahi, N Dey, V Rajinikanth… - Applied …, 2021 - Springer
Lung abnormality is one of the common diseases in humans of all age group and this
disease may arise due to various reasons. Recently, the lung infection due to SARS-CoV-2 …

A hybrid deep learning pavement crack semantic segmentation

Z Al-Huda, B Peng, RNA Algburi, MA Al-antari… - … Applications of Artificial …, 2023 - Elsevier
Automatic pavement crack segmentation plays a critical role in the field of defect inspection.
Although recent segmentation-based CNNs studies showed a promising pavement crack …

Review on automated condition assessment of pipelines with machine learning

Y Liu, Y Bao - Advanced Engineering Informatics, 2022 - Elsevier
Pipelines carrying energy products play vital roles in economic wealth and public safety, but
incidents continue occurring. Condition assessment of pipelines is essential to identify …

[PDF][PDF] A review on deep learning-based structural health monitoring of civil infrastructures

XW Ye, T Jin, 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 …

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 …

A deep learning-based framework for an automated defect detection system for sewer pipes

X Yin, Y Chen, A Bouferguene, H Zaman… - Automation in …, 2020 - Elsevier
The municipal drainage system is a key component of every modern city's infrastructure.
However, as the drainage system ages its pipes gradually deteriorate at rates that vary …

[HTML][HTML] Construction and maintenance of urban underground infrastructure with digital technologies

M Wang, X Yin - Automation in construction, 2022 - Elsevier
Urban underground infrastructure is a critical component in cities to provide essential
services to residents. Research efforts have been made to facilitate different activities of …

Recent advances in sensing and assessment of corrosion in sewage pipelines

S Foorginezhad, M Mohseni-Dargah… - Process Safety and …, 2021 - Elsevier
Corrosion is known as the gradual destruction of materials, leading to structural integrity loss
and deteriorates the surface function. Regarding sewage pipelines, corrosion is vital due to …