[HTML][HTML] The role of deep learning in urban water management: A critical review
Deep learning techniques and algorithms are emerging as a disruptive technology with the
potential to transform global economies, environments and societies. They have been …
potential to transform global economies, environments and societies. They have been …
Artificial intelligence in the AEC industry: Scientometric analysis and visualization of research activities
Abstract The Architecture, Engineering and Construction (AEC) industry is fraught with
complex and difficult problems. Artificial intelligence (AI) represents a powerful tool to assist …
complex and difficult problems. Artificial intelligence (AI) represents a powerful tool to assist …
BIM, machine learning and computer vision techniques in underground construction: Current status and future perspectives
The architecture, engineering and construction (AEC) industry is experiencing a
technological revolution driven by booming digitisation and automation. Advances in …
technological revolution driven by booming digitisation and automation. Advances in …
Machine learning in natural and engineered water systems
R Huang, C Ma, J Ma, X Huangfu, Q He - Water Research, 2021 - Elsevier
Water resources of desired quality and quantity are the foundation for human survival and
sustainable development. To better protect the water environment and conserve water …
sustainable development. To better protect the water environment and conserve water …
Review on automated condition assessment of pipelines with machine learning
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 …
incidents continue occurring. Condition assessment of pipelines is essential to identify …
Machine learning for risk and resilience assessment in structural engineering: Progress and future trends
Population growth, economic development, and rapid urbanization in many areas have led
to increased exposure and vulnerability of structural and infrastructure systems to hazards …
to increased exposure and vulnerability of structural and infrastructure systems to hazards …
A deep learning-based framework for an automated defect detection system for sewer pipes
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 …
However, as the drainage system ages its pipes gradually deteriorate at rates that vary …
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 …
Recent advances in sensing and assessment of corrosion in sewage pipelines
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 …
and deteriorates the surface function. Regarding sewage pipelines, corrosion is vital due to …
DefectTR: End-to-end defect detection for sewage networks using a transformer
The sanitary sewer is a crucial underground infrastructure of any country that collects
wastewater and carries it to the treatment plant. The damage triggered by various factors …
wastewater and carries it to the treatment plant. The damage triggered by various factors …