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A zero-touch network service management approach using AI-enabled CDR analysis
The detection of cells with sub-optimal performance and the identification of the root-cause
of such performance is a crucial and challenging task in Network Performance Management …
of such performance is a crucial and challenging task in Network Performance Management …
Addressing data sparsity with GANs for multi-fault diagnosing in emerging cellular networks
Data-driven machine learning is considered a means to address the paramount challenge of
timely fault diagnosis in modern and futuristic ultra-dense and highly complex mobile …
timely fault diagnosis in modern and futuristic ultra-dense and highly complex mobile …
[PDF][PDF] Classification of customer call details records using Support Vector Machine (SVMs) and Decision Tree (DTs)
FA Abdalla, SEO Ali - Journal of Engineering and Computer Science …, 2021 - core.ac.uk
On a daily basis, telecom businesses create a massive amount of data. Decision-makers
underlined that acquiring new customers is more difficult than maintaining current ones …
underlined that acquiring new customers is more difficult than maintaining current ones …