https://github.com/kirlf/lte-kpi-ts-forecasting

INVESTIGATION OF THE BAYESIAN AND NON-BAYESIAN TIME SERIES FORECASTING FRAMEWORKS IN APPLICATION TO OSS SYSTEMS OF THE LTE/LTE-A AND 5G MOBILE NETWORKS
https://github.com/kirlf/lte-kpi-ts-forecasting

Last synced: 6 months ago
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INVESTIGATION OF THE BAYESIAN AND NON-BAYESIAN TIME SERIES FORECASTING FRAMEWORKS IN APPLICATION TO OSS SYSTEMS OF THE LTE/LTE-A AND 5G MOBILE NETWORKS

• Host: GitHub
• URL: https://github.com/kirlf/lte-kpi-ts-forecasting
• Owner: kirlf
• License: mit
• Created: 2022-05-30T11:30:59.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2022-06-10T18:31:54.000Z (almost 3 years ago)
• Last Synced: 2023-03-05T14:24:07.288Z (about 2 years ago)
• Language: Jupyter Notebook
• Size: 1.72 MB
• Stars: 0
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/kirlf/lte-kpi-ts-forecasting/blob/main/src/E_RAB_SETUP_FR.ipynb)

This repository contains data and source code of the research that was puplished in the following article:

> Fadeev V.A., Zaidullin S.V., Nadeev A.F. (2022). [Investigation of the Bayesian and non-Bayesian time series forecasting framewo rks in appli-cation to OSS systems of the LTE/LTE-A and 5G mobile networks.](https://www.researchgate.net/publication/360919297_INVESTIGATION_OF_THE_BAYESIAN_AND_NON-BAYESIAN_TIME_SERIES_FORECASTING_FRAMEWORKS_IN_APPLICATION_TO_OSS_SYSTEMS_OF_THE_LTELTE-A_AND_5G_MOBILE_NETWORKS) T-Comm, vol. 16, no.4, pр. 52-60. 

For better visualization use the following link:

> [E_RAB_SETUP_FR.ipynb](https://nbviewer.org/github/kirlf/lte-kpi-ts-forecasting/blob/main/src/E_RAB_SETUP_FR.ipynb) (NBViewer - Jupyter Notebook)

If local usage is preferable but `Jupyter` is not locally installed, use the `docker-compose` to run application (some problems may occur in MacOS, unfortunately).

## Next steps

I guess, the following material:

> [Predictive Analytics: Time-Series Forecasting with GRU and BiLSTM in TensorFlow](https://towardsdatascience.com/predictive-analytics-time-series-forecasting-with-gru-and-bilstm-in-tensorflow-87588c852915)

can be uses as an example for the next student research projects.

M.Sc. Vladimir Fadeev

Kazan, 2022