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 machine learning
    sub title: an intelligent perspective of emerging technologies
  name:
    name part: Tanwar, Rohit.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 2023
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: This book focuses on artificial intelligence (AI) and machine learning (ML) technologies and how they are progressively being incorporated into a wide range of products, including consumer gadgets, "smart" personal assistants, cutting-edge medical diagnostic systems, and quantum computing systems. This concise reference book offers a broad overview of the most important trends and discusses how these trends and technologies are being created and employed in the applications in which they are being used. Artificial Intelligence and Machine Learning: An Intelligent Perspective of Emerging Technologies offers a broad package involving the incubation of AI and ML with various emerging technologies such as Internet of Things (IoT), healthcare, smart cities, robotics, and more. The book discusses various data collection and data transformation techniques and also maps the legal and ethical issues of data-driven e-healthcare systems while covering possible ways to resolve them. The book explores different techniques on how AI can be used to create better virtual reality experiences and deals with the techniques and possible ways to merge the power of AI and IoT to create smart home appliances. With contributions from experts in the field, this reference book is useful to healthcare professionals, researchers, and students of industrial engineering, systems engineering, biomedical, computer science, electronics, and communications engineering.
  note: Rohit Tanwar, PhD, is an Associate Professor in the School of Computer Science at the University of Petroleum and Energy Studies (UPES), Dehradun, Misraspatti, India. Surbhi Bhatia Khan, PhD, a Lecturer in the Department of Data Science, School of Science, Engineering and Environment, University of Salford, Manchester, United Kingdom. Varun Sapra, PhD, is presently associated with the School of Computer Science, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India. Before joining academia, he was in the corporate sector and worked at Cupid Software, Web Opac Applications, CMA, and many more. Neelu Jyothi Ahuja, PhD, is a Professor and Head of the Department of Systemics at the School of Computer Science at the University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India.
  subject:
    topic: Artificial intelligence
  subject:
    topic: Machine learning
  subject:
    topic: Intelligence artificielle
  subject:
    topic: Apprentissage automatique
  subject:
    topic: artificial intelligence
  subject:
    topic: TECHNOLOGY / Manufacturing
  subject:
    topic: Artificial intelligence
  subject:
    topic: Machine learning
  classification: Q335 .A78 2023
  classification: 006.3
  identifier: 9781003850489
  identifier: 1003850480
  identifier: 9781003388319
  identifier: 1003388310
  identifier: 9781003850649
  identifier: 1003850642
  identifier: 9781003388319 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: YDX
    record creation date: 231024
    record change date: 20241108165944.0
    record identifier: in00005525196
    language of cataloging:
      language term: eng