%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 }