Demertzis, K.; Demertzis, S.; Iliadis, L. A Selective Survey Review of Computational Intelligence Applications in the Primary Subdomains of Civil Engineering Specializations. Appl. Sci.2023, 13, 3380.
Demertzis, K.; Demertzis, S.; Iliadis, L. A Selective Survey Review of Computational Intelligence Applications in the Primary Subdomains of Civil Engineering Specializations. Appl. Sci. 2023, 13, 3380.
Demertzis, K.; Demertzis, S.; Iliadis, L. A Selective Survey Review of Computational Intelligence Applications in the Primary Subdomains of Civil Engineering Specializations. Appl. Sci.2023, 13, 3380.
Demertzis, K.; Demertzis, S.; Iliadis, L. A Selective Survey Review of Computational Intelligence Applications in the Primary Subdomains of Civil Engineering Specializations. Appl. Sci. 2023, 13, 3380.
Abstract
Advanced state-of-the-art technologies, mainly computational intelligence including Machine/Deep Learning and Fuzzy Computing, through applied research, can provide added value to modern science and, in general, to entrepreneurship and the economy. Artificial intelligence is the field of computer science that attempts to model concepts such as learning, adaptability and perception to synthesize intelligent behavior in solving complex problems, utilizing elements of adaptation to the environment and philosophical reasoning. About the science of civil engineering and, in general, the construction industry, which is one of the most important in economic entrepreneurship, both in terms of the size of the workforce employed and the amount of capital invested, the penetration of artificial intelligence is possible to change industry business models, eliminate costly mistakes, reduce Jobsite injuries and generally make large-scale engineering projects more efficient. The purpose of the paper is to present the recent research on artificial intelligence methods (machine-deep learning, computer vision, natural language processing, fuzzy systems, robotics, etc.) and the corresponding related technologies related to it (extensive data analysis, blockchain, cloud computing, internet of things, augmented reality), in the fields of application of civil engineering science, including structural engineering, geotechnical engineering, hydraulics and water resources management, marine and coastal technology, transport and transportation infrastructure, planning and technical project management, critical infrastructure security and disaster mitigation..
Keywords
Computational Intelligence; Machine/Deep Learning; Fuzzy Computing; Data Analysis; Blockchain; Cloud Computing; Internet of Things; Augmented Reality; Civil Engineering
Subject
Engineering, Civil Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
