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 earth science
    sub title: best practices and fundamental challenges
  name:
    name part: Sun, Ziheng
    role:
      role term: editor.
  name:
    name part: Cristea, Nicoleta
    role:
      role term: editor.
  name:
    name part: Rivas Perea, Pablo
    name part: 1980-
    role:
      role term: editor.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: ne
    date issued: 2023
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource ( x, 418 pages) : illustrations (chiefly color), color maps.
  table of contents: Part I: Fundamentals of Earth AI -- 1. Basic Concepts of Earth AI -- 2. Introductory AI Algorithms -- 3. AI Infrastructure -- hardware and software for developing Earth AI -- Part II. Existing Best Practices -- 4. AI for Earthquake Hidden Signal Detection -- 5. AI for Dust Storm Detection -- 6. AI for Snow Monitoring -- 7. AI for Volcano Pre-warning and Prediction -- 8. AI for Landslide Damage Assessment -- 9. AI for Hurricane Prediction -- 10. AI for Precipitation Prediction -- 11. AI for Drought Monitoring -- 12. AI for Wildfire Detection -- 13. AI for Air Quality Prediction -- 14. AI for Agricultural Irrigation Decision Making -- 15. AI for Land Cover Land Use Classification -- 16. AI for Ocean mesoscale eddies detection -- Part III Fundamental Challenges for AI in Earth Sciences -- 17. AI Model Selection and Tuning -- 18. Training Data Preparation -- 19. Explainable AI -- 20. AI Generalization -- 21. AI Integration with Physics-based Models -- 22. AI Provenance (Replicability & Reproducibility) -- 23. AI Ethics
  note: edited by Ziheng Sun, Nicoleta Cristea, Pablo Rivas.
  note: Includes blibliographical references and index.
  subject:
    topic: Artificial intelligence
    topic: Geophysical applications
  subject:
    topic: Earth sciences
    topic: Data processing
  subject:
    topic: Intelligence artificielle
    topic: Applications géophysiques
  subject:
    topic: Artificial intelligence
    topic: Geophysical applications
  subject:
    topic: Earth sciences
    topic: Data processing
  classification: QE501.4.A78 A78 2023
  classification: 550.285/63
  related item:
    identifier: (OCoLC)1331704030
  identifier: 9780323972161
  identifier: 0323972160
  identifier: 9780323917377
  identifier: 0323917372
  identifier: 9780323972161 Ingram Content Group
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: YDX
    record creation date: 230501
    record change date: 20250816190743.9
    record identifier: in00004765516
    language of cataloging:
      language term: eng