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Boosted Ensemble Learning for Anomaly Detection in 5G RAN
The emerging 5G networks promises more throughput, faster, and more reliable services, but as the network complexity and dynamics increases, it becomes more difficult to troubleshoot the systems. Vendors are spending a lot of time and effort on early anomaly detection in their development cycle and...
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| I publikationen: | Artificial Intelligence Applications and Innovations |
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| Huvudupphovsmän: | , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2020
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7256370/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-49161-1_2 |
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