Abstract Machine learning is one of the key pillars of industry 4.0 that has enabled rapid
technological advancement through establishing complex connections among …

Abstract Machine learning (ML) has become the most successful branch of artificial
intelligence (AI). It provides a unique opportunity to make structural engineering more …

Recent years have witnessed a surge in the application of machine learning techniques for
solving hard to solve structural engineering problems. The application of machine learning …

Concrete is one of the most widely used materials in various civil engineering applications.
Its global production rate is increasing to meet demand. Mechanical properties of concrete …

Buildings are the world's largest contributors to energy demand, greenhouse gases (GHG)
emissions, resource consumption and waste generation. An unmissable opportunity exists …

Abstract Machine learning models have been shown to be useful for predicting and
assessing structural performance, identifying structural condition and informing preemptive …

Artificial Intelligence (AI), machine learning (ML), and deep learning (DL) are emerging
techniques capable of delivering elegant and affordable solutions which can surpass those …

Artificial intelligence (AI) is proving to be an efficient alternative approach to classical
modeling techniques. AI refers to the branch of computer science that develops machines …

Civil engineering is a branch of engineering that deals with the design, construction, and
maintenance of the built environment, including structures such as buildings, roads, bridges …

The growing demand for a more efficient maintenance of concrete bridges requires a model
that tracks the deterioration of each bridge based on inspection data. Although it has been …