A deep learning approach for IoT traffic multi-classification in a smart-city scenario
As the number of Internet of Things (IoT) devices and applications increases, the capacity of
the IoT access networks is considerably stressed. This can create significant performance …
the IoT access networks is considerably stressed. This can create significant performance …
[引用][C] A Deep Learning Approach for IoT Traffic Multi-Classification in a Smart-City Scenario
A Hameed, J Violos, A Leivadeas - IEEE Access, 2022 - ui.adsabs.harvard.edu
A Deep Learning Approach for IoT Traffic Multi-Classification in a Smart-City Scenario -
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NASA/ADS Now on home page ads icon ads Enable full ADS view NASA/ADS A Deep Learning …
[PDF][PDF] A Deep Learning Approach for IoT Traffic Multi-Classification in a Smart-City Scenario
A HAMEED, J VIOLOS, A LEIVADEAS - scholar.archive.org
As the number of Internet of Things (IoT) devices and applications increases, the capacity of
the IoT access networks is considerably stressed. This can create significant performance …
the IoT access networks is considerably stressed. This can create significant performance …
A deep learning approach for IoT traffic multi-classification in a smart-city scenario
A Hameed, J Violos, A Leivadeas - IEEE Access, 2022 - espace2.etsmtl.ca
As the number of Internet of Things (IoT) devices and applications increases, the capacity of
the IoT access networks is considerably stressed. This can create significant performance …
the IoT access networks is considerably stressed. This can create significant performance …