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 …

In an age of depleting earth due to global warming impacting badly on the ozone layer of the
earth system, the need to employ technologies to substitute those engineering practices …

An efficient and safe transportation system is essential to communities during the long-term
recovery period after earthquakes. A disrupted transportation network due to infrastructure …

A challenging issue of utilizing the merit of the machine learning model to the multi-objective
optimization (MOO) problem is that sufficient physical experiments data are hard to get. With …

Artificial Neural Networks (ANNs), the most popular and widely used Artificial Intelligence
(AI) technology due to their proven accuracy and efficiency in control, estimation …

In last few years, big data and deep learning technologies have been successfully applied in
various fields of civil engineering with the great progress of machine learning techniques …

Today, bridge design seeks not only to minimize cost, but also to minimize adverse
environmental and social impacts. This multi-criteria decision-making problem is subject to …

Abstract Machine Learning (ML) techniques have been used in an extensive range of
applications in the field of structural and multidisciplinary optimization over the last few …

Determination of regional deteriorating bridges' maintenance strategies for minimizing life-
cycle risks and costs constructs a complex optimization problem. Improper maintenance …

The revolution towards Industry 4.0 in the AECO Industry has taken Building Information
Modelling (BIM) as one of its central points. BIM abilities for automatization, interoperability …