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    Leveraging Artificial Intelligence in Engineering, Management, and Safety of Infrastructure

Leveraging Artificial Intelligence in Engineering, Management, and Safety of Infrastructure

Leveraging Artificial Intelligence in Engineering, Management, and Safety of Infrastructure
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      The design, construction, and upkeep of infrastructure is comprised of a multitude of dimensions spanning a highly complex paradigm of interconnected opportunities and challenges. While traditional methods fall short of adequately accounting for such complexity, artificial intelligence (AI) presents novel and out-of-the-box solutions that effectively tackle the growing demands of our infrastructure. The convergence between AI and civil engineering is an emerging frontier with tremendous potential.The book is likely to provide a boost to the state of infrastructure engineering by fostering a new look at civil engineering that capitalizes on AI as its main driver. It highlights the ongoing push to adopt and leverage AI to realize contemporary, intelligent, safe, and resilient infrastructure. The book comprises interdisciplinary and novel works from across the globe. It presents findings from innovative efforts supplemented with physical tests, numerical simulations, and case studies – all of which can be used as benchmarks to carry out future experiments and/or facilitate the development of future AI models in structural engineering, traffic engineering, construction engineering, and construction materials.The book will serve as a guide for a wide range of audiences, including senior undergraduate and graduate students, professionals, and government officials of civil, traffic, and computer engineering backgrounds, as well as for those engaged in urban planning and human sciences.
      Format: CONTRIBUTORS: Leveraging Artificial Intelligence in Engineering, Management, and Safety of Infrastructure EAN: 9781032305752 COUNTRY: United Kingdom PAGES: 446 WEIGHT: HEIGHT: 234 cm
      PUBLISHED BY: Taylor & Francis Ltd DATE PUBLISHED: 2024-10-04 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Machine Theory, COMPUTERS / Software Development & Engineering / Systems Analysis & Design, COMPUTERS / Data Science / Machine Learning, SCIENCE / Life Sciences / Biology WIDTH: 156 cm SPINE:

      Book Themes:

      Biology, life sciences, Civil engineering, surveying and building, Mathematical theory of computation, Systems analysis and design, Artificial intelligence, Machine learning

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      M.Z. Naser is a tenure-track faculty member at the School of Civil and Environmental Engineering & Earth Sciences, a member of the AI Research Institute for Science and Engineering (AIRISE) at Clemson University, USA. Dr. Naser has co-authored over 100 publications and has 10 years of experience in structural engineering and AI. His research interest spans causal & explainable AI methodologies to discover new knowledge hidden within the domains of structural & fire engineering and materials science to realize functional, sustainable, and resilient infrastructure. He is a registered professional engineer and a member of various international editorial boards and building committees.
      The design, construction, and upkeep of infrastructure is comprised of a multitude of dimensions spanning a highly complex paradigm of interconnected opportunities and challenges. While traditional methods fall short of adequately accounting for such complexity, artificial intelligence (AI) presents novel and out-of-the-box solutions that effectively tackle the growing demands of our infrastructure. The convergence between AI and civil engineering is an emerging frontier with tremendous potential.The book is likely to provide a boost to the state of infrastructure engineering by fostering a new look at civil engineering that capitalizes on AI as its main driver. It highlights the ongoing push to adopt and leverage AI to realize contemporary, intelligent, safe, and resilient infrastructure. The book comprises interdisciplinary and novel works from across the globe. It presents findings from innovative efforts supplemented with physical tests, numerical simulations, and case studies – all of which can be used as benchmarks to carry out future experiments and/or facilitate the development of future AI models in structural engineering, traffic engineering, construction engineering, and construction materials.The book will serve as a guide for a wide range of audiences, including senior undergraduate and graduate students, professionals, and government officials of civil, traffic, and computer engineering backgrounds, as well as for those engaged in urban planning and human sciences.
      Format: CONTRIBUTORS: Leveraging Artificial Intelligence in Engineering, Management, and Safety of Infrastructure EAN: 9781032305752 COUNTRY: United Kingdom PAGES: 446 WEIGHT: HEIGHT: 234 cm
      PUBLISHED BY: Taylor & Francis Ltd DATE PUBLISHED: 2024-10-04 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Machine Theory, COMPUTERS / Software Development & Engineering / Systems Analysis & Design, COMPUTERS / Data Science / Machine Learning, SCIENCE / Life Sciences / Biology WIDTH: 156 cm SPINE:

      Book Themes:

      Biology, life sciences, Civil engineering, surveying and building, Mathematical theory of computation, Systems analysis and design, Artificial intelligence, Machine learning

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      M.Z. Naser is a tenure-track faculty member at the School of Civil and Environmental Engineering & Earth Sciences, a member of the AI Research Institute for Science and Engineering (AIRISE) at Clemson University, USA. Dr. Naser has co-authored over 100 publications and has 10 years of experience in structural engineering and AI. His research interest spans causal & explainable AI methodologies to discover new knowledge hidden within the domains of structural & fire engineering and materials science to realize functional, sustainable, and resilient infrastructure. He is a registered professional engineer and a member of various international editorial boards and building committees.

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