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: Machine learning and cognitive computing for mobile communications and wireless networks
  name:
    name part: Singh, Krishna Kant (Telecommunications professor)
    role:
      role term: editor.
  type of resource: text
  genre: elektronické knihy
  genre: sborníky
  genre: electronic books
  genre: papers of several authors
  origin info:
    place:
      place term: nju
    date issued: 2020
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online zdroj
  abstract: "Communication and network technology has witnessed recent rapid development and numerous information services and applications have been developed globally. These technologies have high impact on society and the way people are leading their lives. The advancement in technology has undoubtedly improved the quality of service and user experience yet a lot needs to be still done. Some areas that still need improvement include seamless wide-area coverage, high-capacity hot-spots, low-power massive-connections, low-latency and high-reliability and so on. Thus, it is highly desirable to develop smart technologies for communication to improve the overall services and management of wireless communication. Machine learning and cognitive computing have converged to give some groundbreaking solutions for smart machines. With these two technologies coming together, the machines can acquire the ability to reason similar to the human brain. The research area of machine learning and cognitive computing cover many fields like psychology, biology, signal processing, physics, information theory, mathematics, and statistics that can be used effectively for topology management. Therefore, the utilization of machine learning techniques like data analytics and cognitive power will lead to better performance of communication and wireless systems"- Resumé vydavatel
  target audience: specialized
  note: edited by Krishna Kant Singh, KIET Group of Institutions, Delhi-NCR, Ghaziabad, India, Akansha Singh, Department of CSE, ASET, Amity University Uttar Pradesh, Noida, India, Korhan Cengiz, Electrical-Electronics Engineering Department, Trakya University, Edine, Turkey, and Dac-Nhuong Le, Faculty of Information Technology, Haiphong University, Vietnam.
  note: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
  note: Obsahuje bibliografické odkazy a index.
  subject:
    topic: strojové učení
  subject:
    topic: soft computing
  subject:
    topic: mobilní komunikační systémy
  subject:
    topic: bezdrátové sítě
  subject:
    topic: inovace
  subject:
    topic: machine learning
  subject:
    topic: soft computing
  subject:
    topic: mobile communication systems
  subject:
    topic: wireless networks
  subject:
    topic: innovations
  classification: 004.85
  classification: 51-021.167
  classification: 621.39-026.26
  classification: 621.396
  classification: 001.895
  classification: (0.034.2:08)
  classification: (082)
  related item:
    title info:
      title: Machine learning and cognitive computing for mobile communications and wireless networks
    origin info:
      publisher: Hoboken, NJ, USA : Wiley-Scrivener, 2020
    identifier: (DLC) 2020023352
    identifier: (OCoLC)1157843811
  identifier: 9781119640554
  identifier: 9781119640578
  identifier: 9781119640363
  identifier: https://proxy.k.utb.cz/login
  access condition: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
  record info:
    record content source: DG1
    record creation date: 200730
    record change date: 20251008112103.0
    record identifier: 103572
    language of cataloging:
      language term: eng