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: AI-enhanced safety evaluation for tunnelling in rock
    sub title: principles, methods and algorithms
  name:
    name part: Chen, Jiayao
    name part: Ph.D
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Huang, Hongwei
    role:
      role term: author.
  name:
    name part: Zhou, Mingliang
    role:
      role term: author.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 2026
    edition: First edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: Artificial intelligence (AI) techniques for rock tunnel construction offer innovative solutions for assessing rock mass quality and ensuring excavation safety in challenging geological conditions. Both cutting-edge contact methods and noncontact methods such as digital photography can provide continuous geological data during excavation. Then, advanced deep learning algorithms for precise characterization of rock face features, along with pioneering multisource 3D data fusion modelling, can enable refined rock mass classification and sophisticated safety evaluation techniques tailored to complex geological environments. By integrating machine vision and intelligent algorithms with rigorous statistical analysis and machine learning models, this book provides practical and refined solutions for the construction industry. It offers improved safety, efficiency, and reliability for tunnel projects and serves as a valuable reference for graduate students and academics.
  note: Jiayao Chen , Hongwei Huang and Mingliang Zhou.
  note: Includes bibliographical references.
  subject:
    topic: Tunneling
    topic: Safety measures
  subject:
    topic: Tunneling
    topic: Technological innovations
  subject:
    topic: Rock mechanics
    topic: Safety measures
  subject:
    topic: Rock mechanics
    topic: Technological innovations
  subject:
    topic: Artificial intelligence
    topic: Engineering applications
  subject:
    topic: Intelligence artificielle
    topic: Applications en ingénierie
  subject:
    topic: Mécanique des roches
    topic: Innovations
  subject:
    topic: Mécanique des roches
    topic: Sécurité
    topic: Mesures
  subject:
    topic: Tunnels
    topic: Conception et construction
    topic: Innovations
  subject:
    topic: Tunnels
    topic: Conception et construction
    topic: Sécurité
    topic: Mesures
  subject:
    topic: Artificial intelligence
    topic: Engineering applications
  subject:
    topic: Rock mechanics
  subject:
    topic: Tunneling
    topic: Technological innovations
  subject:
    topic: Tunneling
    topic: Safety measures
  classification: TA815
  classification: 624.193028563
  related item:
    identifier: (OCoLC)1523250044
  related item:
    title info:
      title: Challenges in geotechnical and rock engineering
  identifier: 9781040453636
  identifier: 1040453635
  identifier: 9781040453667
  identifier: 104045366X
  identifier: 9781003595557
  identifier: 1003595553
  identifier: 1032976063
  identifier: 9781032976068
  identifier: 9781003595557 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: YDX
    record creation date: 251111
    record change date: 20260209195057.5
    record identifier: in00005684468
    language of cataloging:
      language term: eng