Prediction of IoT Traffic Using the Gated Recurrent Unit Neural Network- (GRU-NN-) Based Predictive Model

Sonali Appasaheb Patil, L. Arun Raj, Bhupesh Kumar Singh

DOI: 10.1155/2021/1425732
Published: 2021-10-05
Container: Security and Communication Networks
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1155/2021/1425732,
  title = {Prediction of IoT Traffic Using the Gated Recurrent Unit Neural Network- (GRU-NN-) Based Predictive Model},
  author = {Sonali Appasaheb Patil and L. Arun Raj and Bhupesh Kumar Singh},
  year = {2021},
  journal = {Security and Communication Networks},
  doi = {10.1155/2021/1425732},
  url = {https://doi.org/10.1155/2021/1425732}
}

RIS

TY  - JOUR
TI  - Prediction of IoT Traffic Using the Gated Recurrent Unit Neural Network- (GRU-NN-) Based Predictive Model
AU  - Sonali Appasaheb Patil
AU  - L. Arun Raj
AU  - Bhupesh Kumar Singh
PY  - 2021
JO  - Security and Communication Networks
DO  - 10.1155/2021/1425732
UR  - https://doi.org/10.1155/2021/1425732
ER  -

APA

Patil, S. A., Raj, L. A., & Singh, B. K. (2021). Prediction of IoT Traffic Using the Gated Recurrent Unit Neural Network- (GRU-NN-) Based Predictive Model. Security and Communication Networks. https://doi.org/10.1155/2021/1425732

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crossref · retrieved 2026-09-25T09:30:15.707Z