£150.00

Woodhead Publishing Artificial Intelligence Applications for High-Performance Built Environments (Woodhead Publishing Series in Civil and Structural Engineering)

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Description

Artificial Intelligence Applications for High-Performance Built Environments draws on the authors’ international academic and industry experience to provide readers with a comprehensive overview of the beneficial impact of AI to the building industry, with both theoretical insights and real-world applications. The book demonstrates how many building industry challenges can be successfully addressed using intelligent technologies while also presenting detailed, cutting-edge methods of applying AI to a range of building industry procedures and performance aspects of the built environment. Readers will learn how to use AI solutions to address similar problems they may be confronted with in their projects/investigations. Sections suggests models, algorithms, and tools, providing a practical pathway for readers to apply AI technologies across the entire building process lifecycle to enhance innovation, efficiency, and productivity. The book's emphasis on intelligence technologies appeals equally to academic and industry-based readers who are not only interested in getting in front of the sector’s technology curve but also in discovering innovative, practical solutions. Provides a comprehensive, lifecycle-based resource on the application of intelligent technologies to the entire building process, from early-stage planning and generative design to structural optimization, fabrication, construction management, and long-term operation Offers a coherent, authored narrative that connects state-of-the-art AI technologies with practical, high-impact challenges in the built environment Describes cutting-edge technologies, including diffusion models, transformer models, computer vision, and deep learning Highlights the remarkable potential for applications in the building industry

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
05 November 2026
Listed Since
21 January 2026

Barcode

No barcode data available

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