Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
4
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
5
2

Relationship

0
7

Authors

Journals

citations
Cited by 10 publications
(4 citation statements)
references
References 47 publications
0
4
0
Order By: Relevance
“…There are, however, a slew of additional options. However, they can all be utilized to calculate classification and, as a result, to judge the model's quality in classification procedures [33].…”
Section: Evaluation Metricsmentioning
confidence: 99%
See 1 more Smart Citation
“…There are, however, a slew of additional options. However, they can all be utilized to calculate classification and, as a result, to judge the model's quality in classification procedures [33].…”
Section: Evaluation Metricsmentioning
confidence: 99%
“…The authors of [33] introduced a novel framework to carry out traffic classification at any layer on the radio network stack. An RNN-based baseline architecture was described, and its performance was benchmarked on three TC workloads at different radio stack layers.…”
Section: Introductionmentioning
confidence: 99%
“…Traffic classification in wired as well as wireless networks has been researched well over the past two decades. Both machine learning [134], [135] and conventional traffic classification techniques [136], [137] have been studied and promising results have been achieved. Recently, traffic classification studies have focused on IoT networks due to different characteristics of IoT traffic and diverse QoS requirements [138], [139].…”
Section: Role Of Ai and ML In Distributed Network Management And Edge...mentioning
confidence: 99%
“…Therefore, statistics based traffic classification are well suited at edge devices considering their limited computational powers as well. AI & ML algorithms have shown promising results in classifying IoT traffic with higher accuracy (up to 83.3% [127] with Decision Trees and up to 94% [135] with CNNs) and their employment at the edge devices can build highly reliable IoT networks with diverse QoS needs. Readers are referred to [127], [134], [135] for detailed surveys of AI & ML techniques for traffic classification.…”
Section: Role Of Ai and ML In Distributed Network Management And Edge...mentioning
confidence: 99%