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In 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.
In 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.
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