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%0 Conference Paper
%1 conf/globecom/BenadjiZV23
%A Benadji, Hanane
%A Zitoune, Lynda
%A Vèque, Véronique
%B GLOBECOM
%D 2023
%I IEEE
%K dblp
%P 2814-2819
%T Predictive Modeling of Loss Ratio for Congestion Control in IoT Networks Using Deep Learning.
%U http://dblp.uni-trier.de/db/conf/globecom/globecom2023.html#BenadjiZV23
%@ 979-8-3503-1090-0
@inproceedings{conf/globecom/BenadjiZV23,
added-at = {2024-03-10T00:00:00.000+0100},
author = {Benadji, Hanane and Zitoune, Lynda and Vèque, Véronique},
biburl = {https://www.bibsonomy.org/bibtex/2a41ac9b5bf8eb45647f4a1a0221c793f/dblp},
booktitle = {GLOBECOM},
crossref = {conf/globecom/2023},
ee = {https://doi.org/10.1109/GLOBECOM54140.2023.10437769},
interhash = {39d68ce0d28ed4e0642ab0481f00d7cf},
intrahash = {a41ac9b5bf8eb45647f4a1a0221c793f},
isbn = {979-8-3503-1090-0},
keywords = {dblp},
pages = {2814-2819},
publisher = {IEEE},
timestamp = {2024-04-09T16:14:01.000+0200},
title = {Predictive Modeling of Loss Ratio for Congestion Control in IoT Networks Using Deep Learning.},
url = {http://dblp.uni-trier.de/db/conf/globecom/globecom2023.html#BenadjiZV23},
year = 2023
}