Addressing Data Sparsity with GANs for Multi-fault Diagnosing in Emerging Cellular Networks-Reference-Cited by-同舟云学术

Addressing Data Sparsity with GANs for Multi-fault Diagnosing in Emerging Cellular Networks

Published:2022-02-21 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)
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Author:

Rizwan A.¹,Abu-Dayya A.¹,Filali F.¹,Imran A.¹

Affiliation:

1. Qatar University,Qatar Mobility Innovations Centre,Doha,Qatar

Funder

Qatar National Research Fund

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9722611/9722613/09722696.pdf?arnumber=9722696

Reference11 articles.

1. Machine Learning Approach for Automatic Fault Detection and Diagnosis in Cellular Networks

2. Detection of Sleeping Cells in Self-Organizing Cellular Networks: An Adversarial Auto-Encoder Method

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4. Self-Organizing Cellular Radio Access Network with Deep Learning

5. Perceptual losses for real-time style transfer and super-resolution;johnson;European Conference on Computer Vision,2016

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