rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Artificial intelligence in performance-driven design
    sub title: theories, methods, and tools
  name:
    name part: Abbasabadi, Narjes
    role:
      role term: editor.
  name:
    name part: Ashayeri, Mehdi
    role:
      role term: editor.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: nju
    date issued: 2024
    edition: First edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xix, 283 pages) : illustrations (chiefly color)
  abstract: "The recent advances in data-driven approaches and big data initiatives provide enormous opportunities for sustainable design and research in decarbonization and digital transformation of the built environment. The Artificial Intelligence and Sustainable Design: Theories, Methods, and Tools book aims to comprehensively review the application of Artificial Intelligence (AI), particularly Machine Learning (ML), in enhancing performance-based design and offer advanced insight into different approaches, methods, and tools for bringing the power of AI in simulation platforms and leveraging digital twin throughout the life cycle of the built environment. The contents center on fundamentals of building science, including key performance indicators such as comfort, indoor/outdoor environmental quality, solar and daylight, and energy exploring human-centered and evidence-based design and optimization procedures and integrating intelligent systems for better understanding, designing, and managing our existing and future built environments"--
  note: edited by Narjes Abbasabadi, University of Washington, Seattle, USA, Mehdi Ashayeri, Southern Illinois University Carbondale, Carbondale, USA.
  note: Includes bibliographical references and index.
  subject:
    topic: Artificial intelligence
    topic: Industrial applications
  subject:
    topic: Engineering design
    topic: Data processing
  classification: TA347.A78 A85 2024
  classification: 620/.0042028563
  related item:
    title info:
      title: Artificial intelligence in performance-driven design
    origin info:
      publisher: Hoboken, New Jersey : Wiley, [2024]
      edition: First edition.
    identifier: (DLC) 2024006963
  identifier: 9781394172092
  identifier: 1394172095
  identifier: 9781394172078
  identifier: 1394172079
  identifier: 9781394172085
  identifier: 1394172087
  identifier: 9781394172061
  identifier: 2024006964
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: DLC
    record creation date: 240212
    record change date: 20260214205959.4
    record identifier: in00004788384
    language of cataloging:
      language term: eng