Artificial intelligence resilient infrastructure (21 résultats)

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Paperback or Softback. Etat : New. Building Greener, Resilient Transport Infrastructure: Innovating with Artificial Intelligence and Digital Twins in Road Design in Uzbekistan. Book.

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Etat : As New. Unread book in perfect condition.

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Etat : New. In English.

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Etat : As New. Unread book in perfect condition.

Paperback. Etat : Brand New. 47 pages. 6.00x0.11x9.00 inches. In Stock.

Hardcover. Etat : new. Hardcover. This book presents selected proceedings from the International Conference on Artificial Intelligence for Resilient Infrastructure and Sustainable Building Materials (AIRISE 2025) and addresses the urgent need for resilient infrastructure. Current challenges such as resource scarcity and colossal carbon footprint demand innovative solutions in design and construction. Artificial Intelligence (AI) is a promising tool which can process large datasets, predict outcomes, and optimize solutions, enhancing infrastructure resilience. It aids in identification, predictive modelling, forecasting, and real-time monitoring, providing essential insights for damage detection, pattern recognition, and predictive maintenance. Developing sustainable construction materials in civil engineering is crucial to meet the demand for high-performance structures. Research in this area focuses on AI applications, such as artificial neural networks (ANNs) for concrete evaluation, deep learning models, and life cycle assessment (LCA) for a circular economy. AI-driven innovation in smart cities, metaheuristic techniques, and soft computing is increasingly essential for material testing, characterization, and waste utilization. Hence, this book volume explores the challenges of resilient infrastructure, examines AI's potential solutions, and explores real-world AI applications in design and construction. This book presents selected proceedings from the International Conference on Artificial Intelligence for Resilient Infrastructure and Sustainable Building Materials (AIRISE 2025) and addresses the urgent need for resilient infrastructure. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Etat : Brand New. 399 pages. 6.30x1.02x9.49 inches. In Stock.

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents selected proceedings from the International Conference on Artificial Intelligence for Resilient Infrastructure and Sustainable Building Materials (AIRISE 2025) and addresses the urgent need for resilient infrastructure. Current challenges such as resource scarcity and colossal carbon footprint demand innovative solutions in design and construction. Artificial Intelligence (AI) is a promising tool which can process large datasets, predict outcomes, and optimize solutions, enhancing infrastructure resilience. It aids in identification, predictive modelling, forecasting, and real-time monitoring, providing essential insights for damage detection, pattern recognition, and predictive maintenance. Developing sustainable construction materials in civil engineering is crucial to meet the demand for high-performance structures. Research in this area focuses on AI applications, such as artificial neural networks (ANNs) for concrete evaluation, deep learning models, and life cycle assessment (LCA) for a circular economy. AI-driven innovation in smart cities, metaheuristic techniques, and soft computing is increasingly essential for material testing, characterization, and waste utilization. Hence, this book volume explores the challenges of resilient infrastructure, examines AI's potential solutions, and explores real-world AI applications in design andconstruction.…

Etat : New. Print on Demand.

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Etat : New. PRINT ON DEMAND.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This publication provides a case study of how digital tools can help optimize road design to strengthen climate resilience, safety, and efficient resource use.It explains how virtual models can be used to simulate and analyze the effects of potential design choices and future scenarios such as climatic conditions. It shows how greater use of data and digital solutions can help build greener, more durable transport infrastructure and bolster safety. The case study was developed in collaboration with ORIS as part of a project to upgrade a section of the A380 Highway in Uzbekistan.…

Taschenbuch. Etat : Neu. Building Greener, Resilient Transport Infrastructure | Innovating with Artificial Intelligence and Digital Twins in Road Design in Uzbekistan | Asian Development Bank | Taschenbuch | Englisch | 2023 | Asian Development Bank | EAN 9789292703417 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…

Taschenbuch. Etat : Neu. Advanced Artificial Intelligence Techniques for Smart Infrastructure Protection | Emerging Methods for Secure, Reliable, and Resilient Smart Infrastructure Systems | K. J. Jenisha (u. a.) | Taschenbuch | Englisch | Eliva Press | EAN 9789999345699 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents selected proceedings from the International Conference on Artificial Intelligence for Resilient Infrastructure and Sustainable Building Materials (AIRISE 2025) and addresses the urgent need for resilient infrastructure. Current challenges such as resource scarcity and colossal carbon footprint demand innovative solutions in design and construction. Artificial Intelligence (AI) is a promising tool which can process large datasets, predict outcomes, and optimize solutions, enhancing infrastructure resilience. It aids in identification, predictive modelling, forecasting, and real-time monitoring, providing essential insights for damage detection, pattern recognition, and predictive maintenance. Developing sustainable construction materials in civil engineering is crucial to meet the demand for high-performance structures. Research in this area focuses on AI applications, such as artificial neural networks (ANNs) for concrete evaluation, deep learning models, and life cycle assessment (LCA) for a circular economy. AI-driven innovation in smart cities, metaheuristic techniques, and soft computing is increasingly essential for material testing, characterization, and waste utilization. Hence, this book volume explores the challenges of resilient infrastructure, examines AI's potential solutions, and explores real-world AI applications in design andconstruction. 386 pp. Englisch.…

Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents selected proceedings from the International Conference on Artificial Intelligence for Resilient Infrastructure and Sustainable Building Materials (AIRISE 2025) and addresses the urgent need for resilient infrastructure. Current challenges such as resource scarcity and colossal carbon footprint demand innovative solutions in design and construction. Artificial Intelligence (AI) is a promising tool which can process large datasets, predict outcomes, and optimize solutions, enhancing infrastructure resilience. It aids in identification, predictive modelling, forecasting, and real-time monitoring, providing essential insights for damage detection, pattern recognition, and predictive maintenance. Developing sustainable construction materials in civil engineering is crucial to meet the demand for high-performance structures. Research in this area focuses on AI applications, such as artificial neural networks (ANNs) for concrete evaluation, deep learning models, and life cycle assessment (LCA) for a circular economy. AI-driven innovation in smart cities, metaheuristic techniques, and soft computing is increasingly essential for material testing, characterization, and waste utilization. Hence, this book volume explores the challenges of resilient infrastructure, examines AI's potential solutions, and explores real-world AI applications in design andconstruction.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 400 pp. Englisch.…