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, cybersecurity and data science for drone and unmanned aerial vehicles
    sub title: real-life applications and case studies
  name:
    name part: Shandilya, Shishir K.
    name part: 1981-
    role:
      role term: editor.
  name:
    name part: Ortiz-Rodriguez, Fernando
    name part: 1974-
    role:
      role term: editor.
  name:
    name part: Shandilya, Smita
    name part: 1982-
    role:
      role term: editor.
  name:
    name part: Romero, Gerardo
    role:
      role term: editor.
  name:
    name part: Taylor & Francis
  type of resource: text
  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 (168 pages) : illustrations (black and white)
  abstract: This book explores the transformative impact of drone technology and unmanned aerial systems (UAS) across diverse industries, from precision agriculture and logistics to disaster response and forensic investigations. It highlights how the integration of Artificial Intelligence (AI) into UAVs is addressing contemporary challenges, optimizing operations, and shaping the future of aerial systems. It offers technical methodologies, case studies, and a detailed roadmap for integrated drone forensics, making it an essential resource for understanding the dynamic sector of Intelligent Aerial Systems. Examines the integration of AI in drones and UAS, enhancing operational efficiency and investigative processes Covers the evolving landscape of drone technology, including swarms, autonomous systems, and forensic methodologies Focuses on specific sectors such as agriculture, logistics, and disaster response, offering practical insights, real-life examples, and future scenarios Explores the role of drones in delivery and logistics, transforming transportation systems by improving efficiency and reducing costs Explains the use of drones for public safety, smart city disaster response, and forensic investigations, providing critical insights for emergency operations This reference book serves as a comprehensive guide for professionals, researchers, and scholars interested in the rapidly advancing world of drone technology.
  note: edited by Shishir Kumar Shandilya, Fernando Ortiz-Rodriguez, Smita Shandilya, Gerardo Romero.
  subject:
    topic: Artificial intelligence
    topic: Engineering applications
  subject:
    topic: Drone aircraft
    topic: Security measures
  subject:
    topic: Drone aircraft
    topic: Data processing
  subject:
    topic: Intelligence artificielle
    topic: Applications en ingénierie
  subject:
    topic: Artificial intelligence
    topic: Engineering applications
  subject:
    topic: Drone aircraft
  classification: Q335
  classification: 629.133/39
  identifier: 9781040394939
  identifier: 1040394930
  identifier: 9781003481584
  identifier: 1003481582
  identifier: 9781040394908
  identifier: 1040394906
  identifier: 9781003481584 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: UKMGB
    record creation date: 250606
    record change date: 20251031195426.4
    record identifier: in00005668096
    language of cataloging:
      language term: eng