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: Research advances in intelligent computing
    part number: Volume 3
  name:
    name part: Verma, Anshul
    name part: (Computer scientist)
    role:
      role term: editor.
  name:
    name part: Verma, Pradeepika
    role:
      role term: editor.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 2026
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (440 pages) : illustrations (black and white)
  abstract: As computers and intelligent machines evolve at an unprecedented pace, the quest to replicate human intelligence in software and systems has become a defining challenge of our time. Research Advances in Intelligent Computing: Volume 3 explores this dynamic field, where artificial intelligence (AI) and computational models converge to create systems capable of learning, reasoning, and problem solving. Drawing inspiration from human cognition, intelligent computing (IC) integrates AI techniques such as machine learning, neural networks, deep learning, evolutionary algorithms, and swarm intelligence to build adaptive, efficient, and autonomous systems. These technologies are now at the heart of innovations across disciplines-from robotics and natural language processing to agriculture, medicine, and economics. This book presents a comprehensive view of the latest advancements in IC, offering both foundational knowledge and practical insights. It is designed to serve as a valuable resource for students, researchers, and professionals seeking to understand and apply IC techniques in real-world scenarios.This book: Showcases recent, impactful applications of IC across diverse domains, supported by detailed case studies. Offers deep insights into the latest research developments and outlines promising areas for future exploration in IC. Combines theoretical foundations with algorithmic, simulation-based, and implementation-oriented research to provide a holistic understanding of IC systems. Balances foundational theory for beginners with practical simulations and real-life implementations for intermediate and advanced readers.
  note: edited by Anshul Verma, Pradeepika Verma.
  note: Includes bibliographical references and index.
  subject:
    topic: Artificial intelligence
  subject:
    topic: Expert systems (Computer science)
  subject:
    topic: Intelligence artificielle
  subject:
    topic: Systèmes experts (Informatique)
  subject:
    topic: artificial intelligence
  subject:
    topic: Artificial intelligence
  subject:
    topic: Expert systems (Computer science)
  classification: 006.33
  identifier: 9781040617687
  identifier: 1040617689
  identifier: 9781003674825
  identifier: 1003674828
  identifier: 9781040592007
  identifier: 1040592007
  identifier: 9781003674825 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: UKMGB
    record creation date: 260226
    record change date: 20260615183435.2
    record identifier: in00005785204
    language of cataloging:
      language term: eng