Retracted: A hybrid‐supervised learning model for compressive spectrum sensing in fifth generation(5G) cognitive Radio enabled internet of things (IoT) networks

Sivasankari Jothiraj, Sridevi Balu, Neelaveni Rangaraj

DOI: 10.1002/dac.4797
Published: 2021-04-11
Container: International Journal of Communication Systems
Publisher: Wiley
Open access: unknown

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serious concern Score 29/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

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Cite this work

BibTeX

@article{allodium:10.1002/dac.4797,
  title = {Retracted: A hybrid‐supervised learning model for compressive spectrum sensing in fifth generation(5G) cognitive Radio enabled internet of things (IoT) networks},
  author = {Sivasankari Jothiraj and Sridevi Balu and Neelaveni Rangaraj},
  year = {2021},
  journal = {International Journal of Communication Systems},
  doi = {10.1002/dac.4797},
  url = {https://doi.org/10.1002/dac.4797}
}

RIS

TY  - JOUR
TI  - Retracted: A hybrid‐supervised learning model for compressive spectrum sensing in fifth generation(5G) cognitive Radio enabled internet of things (IoT) networks
AU  - Sivasankari Jothiraj
AU  - Sridevi Balu
AU  - Neelaveni Rangaraj
PY  - 2021
JO  - International Journal of Communication Systems
DO  - 10.1002/dac.4797
UR  - https://doi.org/10.1002/dac.4797
ER  -

APA

Jothiraj, S., Balu, S., & Rangaraj, N. (2021). Retracted: A hybrid‐supervised learning model for compressive spectrum sensing in fifth generation(5G) cognitive Radio enabled internet of things (IoT) networks. International Journal of Communication Systems. https://doi.org/10.1002/dac.4797

Source records

crossref · retrieved 2026-09-24T18:28:40.665Z