Guest Editorial: Deep Learning Techniques in Intelligent Internet of Things and 5G Communication Networks

Jia-Wei Chang1, Nigel Lin2, Qingguo Zhou3, Yi-Zeng Hsieh4 and Mirjana Ivanovic5

  1. Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, Taichung City, Taiwan
    jwchang@nutc.edu.tw
  2. Department of Computer Science and Engineering, Santa Clara University, Santa Clara, CA, USA
    nigel@mail.topwise.com
  3. School of Information Science & Engineering, Lanzhou University, Gansu Province, China
    zhouqg@lzu.edu.cn
  4. Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei City, Taiwan
    yzhsieh@mail.ntust.edu.tw
  5. University of Novi Sad, Faculty of Sciences, Novi Sad, Serbia
    mira@dmi.uns.ac.rs

Digital Object Identifier (DOI)

https://doi.org/10.2298/CSIS240200iC

Publication information

Volume 21, Issue 2 (April 2024)
Special Issue on Deep Learning Techniques in Intelligent Internet of Things and 5G Communication Networks
Year of Publication: 2024
ISSN: 2406-1018 (Online)
Publisher: ComSIS Consortium

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How to cite

Chang, J., Lin, N., Zhou, Q., Hsieh, Y., Ivanovic, M.: Guest Editorial: Deep Learning Techniques in Intelligent Internet of Things and 5G Communication Networks. Computer Science and Information Systems, Vol. 21, No. 2, i-v. (2024), https://doi.org/10.2298/CSIS240200iC