An Ensemble Learning Approach for Fault Diagnosis in Self-Organizing Heterogeneous Networks

Author:

Wang Yueping,Zhu KunORCID,Sun Mengyun,Deng Yueyu

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 22 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An ensemble and cost-sensitive learning-based root cause diagnosis scheme for wireless networks with spatially imbalanced user data distribution;Science China Information Sciences;2024-06-25

2. On Optimizing Ensemble Models using Column Generation;Journal of Optimization Theory and Applications;2024-02-22

3. Analysis and Identification of Root Cause of 5G Radio Quality Deterioration Using Machine Learning;IEICE Transactions on Communications;2023-12-01

4. Data-driven ML Approaches for the concept of Self-healing in CWN, Including its Challenges and Possible Solutions;2023 Eighth International Conference on Science Technology Engineering and Mathematics (ICONSTEM);2023-04-06

5. A Systematic Review on Imbalanced Learning Methods in Intelligent Fault Diagnosis;IEEE Transactions on Instrumentation and Measurement;2023

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