lirits/NetworkTrafficPrediction
Using deep learning methods to predict network traffic(such as Lte..)
This helps network operators and telecommunications engineers forecast future network traffic, such as LTE usage. By inputting historical traffic data, it generates predictions that can span many hours, allowing for better resource planning and management. Network operations teams can use this to anticipate demand fluctuations.
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Use this if you need to accurately predict future network traffic volumes to optimize resource allocation and prevent congestion.
Not ideal if you are looking for real-time anomaly detection or require predictions for non-telecom network types.
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Last pushed
Nov 06, 2021
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