Editorial: deep learning for 5G IoT systems

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dc.contributor.authorCheng, Xiaochun
dc.contributor.authorZhang, Chengqi
dc.contributor.authorQian, Yi
dc.contributor.authorAloqaily, Moayad
dc.contributor.authorXiao, Yang
dc.contributor.otherMiddlesex University
dc.contributor.otherUniversity of Technology Sydney
dc.contributor.otherUniversity of Nebraska Lincoln
dc.contributor.otherQatar University
dc.contributor.otherUniversity of Alabama Tuscaloosa
dc.date.accessioned2023-09-28T19:31:09Z
dc.date.available2023-09-28T19:31:09Z
dc.date.issued2021
dc.format.mediumelectronic
dc.format.mimetypeapplication/pdf
dc.identifier.citationCheng, X., Zhang, C., Qian, Y., Aloqaily, M., & Xiao, Y. (2021). Editorial: deep learning for 5G IoT systems. In International Journal of Machine Learning and Cybernetics (Vol. 12, Issue 11, pp. 3049–3051). Springer Science and Business Media LLC. https://doi.org/10.1007/s13042-021-01382-w
dc.identifier.doi10.1007/s13042-021-01382-w
dc.identifier.orcidhttps://orcid.org/0000-0003-2443-7234
dc.identifier.orcidhttps://orcid.org/0000-0001-8549-6794
dc.identifier.orcidhttps://orcid.org/0000-0001-5715-7154
dc.identifier.urihttps://ir.ua.edu/handle/123456789/11369
dc.languageEnglish
dc.language.isoen_US
dc.publisherSpringer
dc.subjectComputer Science, Artificial Intelligence
dc.titleEditorial: deep learning for 5G IoT systemsen_US
dc.typeEditorial Material
dc.typetext

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