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 and data science in environmental sensing
  name:
    name part: Asadnia, Mohsen.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: enk
    place:
      place term: London
    publisher: Academic Press
    date issued: 2022
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xviii, 305 pages) illustrations
  abstract: Artificial Intelligence and Data Science in Environmental Sensing provides state-of-the-art information on the inexpensive mass-produced sensors that are used as inputs to artificial intelligence systems. The book discusses the advances of AI and Machine Learning technologies in material design for environmental areas. It is an excellent resource for researchers and professionals who work in the field of data processing, artificial intelligence sensors and environmental applications.
  table of contents: Smart sensing technologies for wastewater treatment plants -- Advancements and artificial intelligence approaches in antennas for environmental sensing -- Intelligent geo-sensing for moving toward smart, resilient, low emission, and less carbon transport -- Language of response surface methodology as an experimental strategy for electrochemical wastewater treatment process optimization -- Artificial intelligence and sustainability: solutions to social and environmental challenges -- Application of multi-criteria decision-making tools for a site analysis of offshore wind turbines -- Recent advances of image processing techniques in agriculture -- Tuning swarm behavior for environmental sensing tasks represented as coverage problems -- Machine learning applications for developing sustainable construction materials -- The AI-assisted removal and sensor-based detection of contaminants in the aquatic environment -- Recent progress in biosensors for wastewater monitoring and surveillance -- Machine learning in surface plasmon resonance for environmental monitoring.
  note: edited by Mohsen Asadnia [and more].
  note: Includes bibliographical references and index.
  subject:
    topic: Environmental monitoring
    topic: Remote sensing
    topic: Data processing
  subject:
    topic: Artificial intelligence
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Environnement
    topic: Surveillance
    topic: Télédétection
    topic: Informatique
  subject:
    topic: Intelligence artificielle
  subject:
    topic: artificial intelligence
  subject:
    topic: Artificial intelligence
  classification: GE45.R44
  classification: 363.7063028563
  related item:
    identifier: (OCoLC)1265457479
  related item:
    title info:
      title: Cognitive data science in sustainable computing
  identifier: 9780323905077
  identifier: 0323905072
  identifier: 9780323905084
  identifier: 9780323905077 O'Reilly Media
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: YDX
    record creation date: 220212
    record change date: 20260327171622.3
    record identifier: in00005769334
    language of cataloging:
      language term: eng