Fault and Severity Diagnosis Using Deep Learning for Self-Organizing Networks With Imbalanced and Small Datasets

Fault and Severity Diagnosis Using Deep Learning for Self-Organizing Networks With Imbalanced and Small Datasets

With the growing complexity of wireless networks, manual management of networks becomes infeasible. To address this, self-organizing networks (SONs) have been introduced to provide solutions by offering self-organizing approaches to networks. Developing effective self-organizing approaches often dep...

Full description

Saved in:
Bibliographic Details
Main Authors: Hsin-Chang Tsai, Ming-Chun Lee, Chao-Hao Hsu
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Self-organizing networks
fault and severity diagnosis
deep-learning
imbalanced regression
meta-learning
Online Access:https://ieeexplore.ieee.org/document/10869477/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/10869477/

Similar Items