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 Machine Learning for 5G Technology, a Case Study

Machine Learning for 5G Technology, a Case Study

  • Posted by Daitan Innovation Team
  • On November 13, 2021
  • 5G, Machine Learning, Telecommunications
Identifying signal modulation types using deep convolutional neural networks. In this article, we will look at how the NG-RAN can use an end-to-end deep learning system to recognize and classify modulated RF signals and adjust channel parameters appropriately, so both ends of the communication achieve optimal, effective resource usage.
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 Machine Learning for Anomaly Detection

Machine Learning for Anomaly Detection

  • Posted by Wilker Amorim
  • On December 8, 2019
  • AI, Communications, Machine Learning, Symphony Platform, Telecommunications, Time Series Forecast
Build and implement an AI solution to monitor, analyze and alert Communications companies of deviations from normal traffic behavior, detecting robocalling and fraud.
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 Data Pipeline & Analytics Solution

Data Pipeline & Analytics Solution

  • Posted by Wilker Amorim
  • On December 7, 2018
  • Analytics, Data, Telecommunications
Building a near real-time analytics system, orchestrating multiple computer clusters analyzing over 15 billion events (or 13 Terabytes of data) per day.
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