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: Cognitive electronic earfare
    sub title: an artificial intelligence approach
  name:
    name part: Haigh, Karen Zita
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Andrusenko, Julia.
    role:
      role term: author.
  name:
    name part: Knovel (Firm)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: xxu
    date issued: 2025
    edition: Second edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: In this revised Second edition of Cognitive Electronic Warfare: An Artificial Intelligence Approach, you will learn how cutting-edge AI and machine learning technologies are transforming the landscape of national defense. This comprehensive guide demystifies how cognitive systems are being used to revolutionize Electronic Warfare (EW), from real-time signal analysis to autonomous decision-making. Whether you're a defense analyst, engineer, or tech innovator, this book offers a foundational understanding of how AI can be applied to the full spectrum of EW operations⁰́₄from support and protection to electronic attack and battle management. Modern battlefields demand systems that are fast, flexible, and capable of adapting without direct human intervention. This book goes beyond the basics to show you how to architect intelligent EW platforms that can learn and evolve during missions, even when deployed in resource-constrained environments. You'll explore how machine learning can be used for signal characterization, classification, pattern recognition, and intent detection⁰́₄key functions that enhance situational awareness and response. The text also dives into the specifics of planning and optimization techniques for real-time electronic protect (EP) and electronic attack (EA), ensuring you understand the spatial and temporal tradeoffs inherent in these systems. With hands-on case studies, development strategies, and insight into data and knowledge management, this book serves as a technical and strategic blueprint for building next-generation defense systems that are as adaptive as they are effective. Cognitive Electronic Warfare: An Artificial Intelligence Approach, Second Edition stands alone in its comprehensive treatment of EW capabilities across all domains and timescales. Thoroughly updated to reflect rapid advancements in technology and operational needs, it introduces cutting-edge topics such as on-board learning, generative AI, tiny ML, and DevMLOps⁰́₄equipp…
  note: Karen Haigh, Julia Andrusenko.
  subject:
    topic: Artificial intelligence
    topic: Military applications
  subject:
    topic: Electronics in military engineering
  subject:
    topic: Intelligence artificielle
    topic: Applications militaires
  classification: UG479 .H35 2025eb
  classification: 623.028563
  identifier: 9781685691042
  identifier: 1685691048
  identifier: 11173719 IEEE
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: IEEEE
    record creation date: 251003
    record change date: 20260121211552.4
    record identifier: in00005677036
    language of cataloging:
      language term: eng