Making Sense of Mobile Network Traffic Using Deep Learning - Paul Patras, Edinburgh

Making Sense of Mobile Network Traffic Using Deep Learning - Paul Patras, Edinburgh

Alan Turing Institute via YouTube Direct link

Coffee days

18 of 19

18 of 19

Coffee days

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Making Sense of Mobile Network Traffic Using Deep Learning - Paul Patras, Edinburgh

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  1. 1 Introduction
  2. 2 Scenario
  3. 3 Why is this scenario realistic
  4. 4 Measurement infrastructure
  5. 5 Challenges
  6. 6 The problem
  7. 7 The solution
  8. 8 Low resolution to high resolution
  9. 9 GAN framework
  10. 10 Discriminator framework
  11. 11 Generator framework
  12. 12 Discriminator
  13. 13 Validate
  14. 14 Results
  15. 15 Example
  16. 16 Peak detection
  17. 17 Making sense of other processes
  18. 18 Coffee days
  19. 19 Conclusion

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