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: Convergence of deep learning and artificial Intelligence in internet of things
  name:
    name part: Rana, Arun Kumar
    role:
      role term: editor.
  name:
    name part: Rana, Ajay
    role:
      role term: editor.
  name:
    name part: Dhawan, Sachin
    role:
      role term: editor.
  name:
    name part: Sharma, Sharad
    role:
      role term: editor.
  name:
    name part: Elngar, Ahmed A.
    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: 2023
    copyright date: 2023
    edition: First edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xv, 311 pages) : illustrations (some color), maps (chiefly color).
  abstract: "The text emphasizes the importance of innovation and improving the profitability of manufacturing plants using smart technologies such as artificial intelligence, deep learning, and the internet of things. It further discusses applications of smart technologies in diverse sectors such as production, manufacturing, transport, and healthcare"--
  note: edited by Arun Kumar Rana, Ajay Rana, Sachin Dhawan, Sharad Sharma, and Ahmed A. Elngar.
  note: Includes bibliographical references and index.
  note: Dr. Ajay Rana has demonstrated his intellectual, interpersonal, and managerial skills with vast teaching experience in the academics and industry with the role ranging from lecturer to professor to director to dean and senior vice president (RBEF) within a span of more than 22 years. He is an educationalist, a teacher by heart, an innovator, a strategist, and a committed philanthropist with deep organizational ethics, equality and holding hands of every individual who wishes to succeed in life as the core of his life philosophy. His areas of interest include machine learning, Internet of Things (IoT), augmented reality, software engineering and soft computing. He has 60-plus patents under his name in the field of IoT, networks, and sensors. He has published more than 271 research papers in reputed journals such as ACM, Springer, Elsevier, Taylor and Francis and others, and International and National Conferences, co-authored 8 books and co-edited 36 conference proceedings. Prof. Rana is the chairman of AUN Research Labs, executive committee member of IEEE Uttar Pradesh Section, senior member of IEEE, and life member of the Computer Society of India and ISTE. He is also a member of the editorial board and review committee of several journals. With the intent to provide a robust learning environment to his students, he has visited many top universities and colleges, which have a legacy of more than 1,200 years of producing leaders on the global front in entire Europe, UAE, the UK, and Asia. Dr. Sharad Sharma is presently working as a professor in Electronics and Communication Engineering Department in Maharishi Markandeshwar (Deemed to be University), Mullana, India. He has a vast experience of more than 20 years of teaching and administrative work. He has received his B.Tech degree in Electronics Engineering from Nagpur University, Nagpur, India; M.Tech in Electronics and Communication Engineering from Thapar Institute of Engineering and Technology, Patiala, India; an…
  subject:
    topic: Internet of things
  subject:
    topic: Deep learning (Machine learning)
  subject:
    topic: Convergence (Telecommunication)
  subject:
    topic: Internet des objets
  subject:
    topic: Apprentissage profond
  subject:
    topic: Convergence (Télécommunications)
  subject:
    topic: COMPUTERS / Computer Engineering
  subject:
    topic: TECHNOLOGY / Electronics / General
  subject:
    topic: Convergence (Telecommunication)
  subject:
    topic: Deep learning (Machine learning)
  subject:
    topic: Internet of things
  classification: TK5105.8857 .C6688 2023
  classification: 004.67/8
  related item:
    title info:
      title: Future generation information systems
  related item:
    title info:
      title: Convergence of deep learning and artificial Intelligence in internet of things
    origin info:
      publisher: Boca Raton : CRC Press, 2023
      edition: First edition.
    identifier: (DLC) 2022034122
  identifier: 9781003355960
  identifier: 100335596X
  identifier: 9781000822083
  identifier: 1000822087
  identifier: 9781000822090
  identifier: 1000822095
  identifier: 9781032391717
  identifier: 9781032410425
  identifier: 2022034123
  identifier: 9781003355960 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: DLC
    record creation date: 220718
    record change date: 20241108165522.2
    record identifier: in00005520683
    language of cataloging:
      language term: eng