A comprehensive survey on machine learning for networking: evolution, applications and research opportunities
Abstract Machine Learning (ML) has been enjoying an unprecedented surge in applications
that solve problems and enable automation in diverse domains. Primarily, this is due to the …
that solve problems and enable automation in diverse domains. Primarily, this is due to the …
Unsupervised machine learning for networking: Techniques, applications and research challenges
While machine learning and artificial intelligence have long been applied in networking
research, the bulk of such works has focused on supervised learning. Recently, there has …
research, the bulk of such works has focused on supervised learning. Recently, there has …
In-network machine learning using programmable network devices: A survey
Machine learning is widely used to solve networking challenges, ranging from traffic
classification and anomaly detection to network configuration. However, machine learning …
classification and anomaly detection to network configuration. However, machine learning …
Bearing fault diagnostics using EEMD processing and convolutional neural network methods
IIE Amarouayache, MN Saadi, N Guersi… - … International Journal of …, 2020 - Springer
The development of an intelligent fault diagnosis system to identify automatically and
accurately micro-faults affecting motors continues to be a challenge for industrial rotary …
accurately micro-faults affecting motors continues to be a challenge for industrial rotary …
Machine learning-assisted closed-control loops for beyond 5g multi-domain zero-touch networks
Abstract End-to-End (E2E) services in beyond 5G (B5G) networks are expected to be built
upon resources and services distributed in multi-domain, multi-technology environments. In …
upon resources and services distributed in multi-domain, multi-technology environments. In …
FDF-HybridFS: Towards design of a failure detection framework using hybrid feature selection method for IP core networks that connect 5G core in NFV-based test …
A Rajak, R Tripathi - Computer Standards & Interfaces, 2024 - Elsevier
With the advancement of recent technologies, high-speed and secure internet connectivity is
required for 5th-generation mobile networks. A massive number of smart devices connected …
required for 5th-generation mobile networks. A massive number of smart devices connected …
A survey of fault management in network virtualization environments: Challenges and solutions
The advent of 5G and the ever increasing stringent requirements in terms of bandwidth,
latency, and quality of service pushes the boundaries of what is feasible with legacy Mobile …
latency, and quality of service pushes the boundaries of what is feasible with legacy Mobile …
Data clustering using unsupervised machine learning
B Chander, K Gopalakrishnan - Statistical Modeling in Machine Learning, 2023 - Elsevier
Artificial intelligence (AI) and machine learning (ML) have been active in various research
fields and improved results. However, most of them applied or focused on supervised …
fields and improved results. However, most of them applied or focused on supervised …
Network threat detection based on group CNN for privacy protection
Y Xu, X Zhang, C Lu, Z Qiu, C Bi, Y Lai… - Wireless …, 2021 - Wiley Online Library
The Internet of Things (IoT) contains a large amount of data, which attracts various types of
network attacks that lead to privacy leaks. With the upgrading of network attacks and the …
network attacks that lead to privacy leaks. With the upgrading of network attacks and the …
Comparative analysis of network fault classification using machine learning
J Kawasaki, G Mouri, Y Suzuki - NOMS 2020-2020 IEEE/IFIP …, 2020 - ieeexplore.ieee.org
The recent evolution in network technologies such as network function virtualization (NFV)
and cloud-native network function (CNF) is expected to enable the delivery of on-demand …
and cloud-native network function (CNF) is expected to enable the delivery of on-demand …