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 in signal processing
    sub title: applications, challenges and road ahead
  name:
    name part: Tanwar, Sudeep
    role:
      role term: editor.
  name:
    name part: Nayyar, Anand
    role:
      role term: editor.
  name:
    name part: Rameshwar, Rudra
    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: 2022
    copyright date: 2022
    edition: First edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource : illustrations
  abstract: "Machine Learning in Signal Processing: Applications, Challenges and Road Ahead offers a comprehensive approach towards research orientation for familiarising 'signal processing (SP)' concepts to machine learning (ML). Machine Learning (ML), as the driving force of the wave of Artificial Intelligence (AI), provides powerful solutions to many real-world technical and scientific challenges. This book will present the most recent and exciting advances in signal processing for Machine Learning (ML). The focus is on understanding the contributions of signal processing and ML and its aim to solve some of the Artificial Intelligence (AI) and Machine Learning (ML) challenges"--
  note: edited by Sudeep Tanwar, Anand Nayyar, and Rudra Rameshwar.
  note: Includes bibliographical references and index.
  note: Sudeep Tanwar (M'15, SM'21) is currently working as a Professor of the Computer Science and Engineering Department at the Institute of Technology, Nirma University, India. Dr Tanwar was a visiting Professor at Jan Wyzykowski University in Polkowice, Poland and the University of Pitesti in Pitesti, Romania. Dr Tanwar's research interests include Blockchain Technology, Wireless Sensor Networks, Fog Computing, Smart Grid, and IoT. He has authored 02 books and edited 13 books, more than 200 technical papers, including top journals and top conferences, such as IEEE TNSE, TVT, TII, WCM, Networks, ICC, GLOBECOM, and INFOCOM. He is a Senior Member of IEEE, CSI, IAENG, ISTE, CSTA, and the member of the Technical Committee on Tactile Internet of IEEE Communication Society. He is leading the ST research lab where group members are working on the latest cutting-edge technologies. Anand Nayyar received Ph.D (Computer Science) from Desh Bhagat University in 2017 in the area of Wireless Sensor Networks and Swarm Intelligence. He is currently working in Graduate School, Duy Tan University, Da Nang, Vietnam. A Certified Professional with 75+ Professional certificates from CISCO, Microsoft, Oracle, Google, Beingcert, EXIN, GAQM, Cyberoam and many more. Published 100+ Research Papers in various National International Journals (Scopus/SCI/SCIE/SSCI Indexed) with High Impact Factor. Member of more than 50+ Associations as Senior and Life Member. He is acting as Editor-in-Chief of IGI-Global, USA Journal titled "International Journal of Smart Vehicles and Smart Transportation (IJSVST)". Rudra Rameshwar (Ph.D. - IIT Roorkee, M.Tech. - IIT Roorkee, D.B.E. - EDII Ahmedabad, B.Tech. (Elect. Engg.) - DEI Agra, B.Sc. - DEI Agra) is full-time management faculty working in LMTSOM, Thapar Institute of Engineering & Technology (Deemed-to-be-University) Patiala (Punjab State), India. He is associated with core MBA specializations working in the area of "Operations, Energy & Sustainability, and Anal…
  subject:
    topic: Machine learning
  subject:
    topic: Signal processing
  subject:
    topic: Apprentissage automatique
  subject:
    topic: Traitement du signal
  subject:
    topic: COMPUTERS / Machine Theory
  subject:
    topic: Machine learning
  subject:
    topic: Signal processing
  classification: Q325.5 .M3219 2022
  classification: 006.3/1
  related item:
    title info:
      title: Machine learning espousal in signal processing
    origin info:
      publisher: Boca Raton : Chapman & Hall/CRC Press, 2022
      edition: First edition.
    identifier: (DLC) 2021032155
  identifier: 9781003107026
  identifier: 1003107028
  identifier: 9781000487794
  identifier: 1000487792
  identifier: 9781000487817
  identifier: 1000487814
  identifier: 9780367618902
  identifier: 9780367618926
  identifier: 2021032156
  identifier: 9781003107026 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: DLC
    record creation date: 210920
    record change date: 20241108170059.0
    record identifier: in00005526477
    language of cataloging:
      language term: eng