A Scoring Framework for the Unsupervised Identification of the Relevance of Metrics in Cell Degradation Clusters
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DOI: 10.1109/lcomm.2024.3411768
Abstract: The complexity of cellular networks makes them difficult to manage and prone to failures. This has led to the application of artificial intelligence mechanisms for failure management tasks. Nevertheless, the availability of labeled data on… read more here.
Keywords: framework; identification relevance; unsupervised identification; framework unsupervised ... See more keywords