A framework to classify heterogeneous Internet traffic with Machine Learning and Deep Learning techniques for satellite communications

Fannia Pacheco, Ernesto Exposito, Mathieu Gineste

Open source

DOI
10.1016/j.comnet.2020.107213
Published
2020-05
Container
Computer Networks
Publisher
Elsevier BV
Open access
unknown

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BibTeX

@article{allodium:10.1016/j.comnet.2020.107213,
  title = {A framework to classify heterogeneous Internet traffic with Machine Learning and Deep Learning techniques for satellite communications},
  author = {Fannia Pacheco and Ernesto Exposito and Mathieu Gineste},
  year = {2020},
  journal = {Computer Networks},
  doi = {10.1016/j.comnet.2020.107213},
  url = {https://doi.org/10.1016/j.comnet.2020.107213}
}

RIS

TY  - JOUR
TI  - A framework to classify heterogeneous Internet traffic with Machine Learning and Deep Learning techniques for satellite communications
AU  - Fannia Pacheco
AU  - Ernesto Exposito
AU  - Mathieu Gineste
PY  - 2020
JO  - Computer Networks
DO  - 10.1016/j.comnet.2020.107213
UR  - https://doi.org/10.1016/j.comnet.2020.107213
ER  -

APA

Pacheco, F., Exposito, E., & Gineste, M. (2020). A framework to classify heterogeneous Internet traffic with Machine Learning and Deep Learning techniques for satellite communications. Computer Networks. https://doi.org/10.1016/j.comnet.2020.107213

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