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AuthorPlevris, Vagelis
AuthorAhmad, Afaq
AuthorLagaros, Nikos D.
Available date2024-10-02T05:59:49Z
Publication Date2023
Publication NameArtificial Intelligence and Machine Learning Techniques for Civil Engineering
ResourceScopus
URIhttp://dx.doi.org/10.4018/978-1-6684-5643-9
URIhttp://hdl.handle.net/10576/59656
AbstractIn recent years, artificial intelligence (AI) has drawn significant attention with respect to its applications in several scientific fields, varying from big data handling to medical diagnosis. A tremendous transformation has taken place with the emerging application of AI. AI can provide a wide range of solutions to address many challenges in civil engineering. Artificial Intelligence and Machine Learning Techniques for Civil Engineering highlights the latest technologies and applications of AI in structural engineering, transportation engineering, geotechnical engineering, and more. It features a collection of innovative research on the methods and implementation of AI and machine learning in multiple facets of civil engineering. Covering topics such as damage inspection, safety risk management, and information modeling, this premier reference source is an essential resource for engineers, government officials, business leaders and executives, construction managers, students and faculty of higher education, librarians, researchers, and academicians.
Languageen
PublisherIGI Global
SubjectArtificial Intelligence (AI)
Machine Learning (ML)
Civil Engineering
Construction
Infrastructure
Engineering Techniques
TitleArtificial Intelligence and Machine Learning Techniques for Civil Engineering
TypeBook
Pagination1-385
dc.accessType Abstract Only


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