Moderately Multispike Return Neural Network for SDN Accurate Traffic Awareness in Effective 5G Network Slicing-Reference-Cited by-同舟云学术

Moderately Multispike Return Neural Network for SDN Accurate Traffic Awareness in Effective 5G Network Slicing

Published:2022 Issue: Volume:10 Page:73378-73387
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Soud Najwan Sattar¹,Al-Jamali Nadia Adnan Shiltagh¹^ORCID,Al-Raweshidy Hamed S.²^ORCID

Affiliation:

1. Department of Computer Engineering, University of Baghdad, Baghdad, Al-Jadriya, Iraq

2. Department of Electronic and Electrical Engineering, College of Engineering, Design and Physical Sciences, Brunel University London, Uxbridge, U.K.

Funder

Brunel University London, U.K.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09819896.pdf?arnumber=9819896

Reference27 articles.

1. AMPS: Application aware multipath flow routing using machine learning in SDN

2. An Intelligent Traffic Classification in SDN-IoT: A Machine Learning Approach

3. DEEP NEURAL NETWORKS FOR APPLICATION AWARENESS IN SDN-BASED NETWORK

4. Soft-Health: Software-Defined Fog Architecture for IoT Applications in Healthcare

5. Scalable Architecture for SDN Traffic Classification

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