Preprint Open Access
A General Approach for Traffic Classification in Wireless Networks using Deep Learning
Miguel Camelo;
Paola Soto;
Steven Latré
BibTeX Export
@misc{miguel_camelo_2021_5767584,
author = {Miguel Camelo and
Paola Soto and
Steven Latré},
title = {{A General Approach for Traffic Classification in
Wireless Networks using Deep Learning}},
month = dec,
year = 2021,
publisher = {Zenodo},
version = {v2.0},
doi = {10.5281/zenodo.5767584},
url = {https://doi.org/10.5281/zenodo.5767584}
}
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| All versions | This version | |
|---|---|---|
| Views | 223 | 87 |
| Downloads | 248 | 145 |
| Data volume | 585.9 MB | 463.5 MB |
| Unique views | 162 | 70 |
| Unique downloads | 223 | 131 |
Indexed in
- Publication date:
- December 8, 2021
- DOI:
-
- Keyword(s):
- Deep Learning, Intelligent Radios, Radio Spectrum, Traffic Classification, Wireless Networks
- Grants:
-
European Commission:
- DAEMON - Network intelligence for aDAptive and sElf-Learning MObile Networks (101017109)
- Related identifiers:
- Published in
- 10.1109/TNSM.2021.3130382 (Journal article)
- Supplementary material
- 10.5281/zenodo.5208200 (Dataset)
- 10.5281/zenodo.5208626 (Software)
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International