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radon-prediction

Radon levels forecasting using LSTM models

https://github.com/valcarcexyz/radon-prediction

Science Score: 44.0%

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Repository

Radon levels forecasting using LSTM models

Basic Info
  • Host: GitHub
  • Owner: valcarcexyz
  • Language: Jupyter Notebook
  • Default Branch: main
  • Homepage:
  • Size: 3.27 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 4 years ago · Last pushed over 3 years ago
Metadata Files
Readme Citation

README.md

Radon level forecasting using LSTM models

This work builds a simple LSTM model that it is able to predict the radon levels using only the radon itself and the ventilation status in the room it is monitorized. It has below 15Bq/m3 of RMSE and the next figure shows a the model forecasting prediction.

LSTM forecasting

The repository structure is the following

├── data │   ├── predictions.csv │   └── radon-data.csv ├── figures │   └── // figures used, drawed with src/plots.R ├── README.md └── src ├── LSTM-models.ipynb ├── plots.R ├── requirements.txt └── utils └── // Useful functions

Depoyment with docker

Start the container as follows: bash docker build -t radon_predictions . docker run -p 8500:8500 --name radon radon_predictions

To submit data to predict new radon levels, there is an example in sample_predictions.py using python requests.

Then, to stop the container: docker stop radon. For further configuration, navigate the docker documentation.

Owner

  • Name: Diego Valcarce
  • Login: valcarcexyz
  • Kind: user
  • Location: A Coruña
  • Company: @Innogando

Free as in freedom

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Valcarce"
  given-names: "Diego"
  orcid: "https://orcid.org/0000-0003-1574-8161"
- family-names: "Alvarellos"
  given-names: "Alberto"
  orcid: "https://orcid.org/0000-0002-3404-3354"
- family-names: "Rabuñal"
  given-names: "Juan Ramón"
  orcid: "https://orcid.org/0000-0002-1253-4419"
- family-names: "Dorado"
  given-names: "Julián"
  orcid: "https://orcid.org/0000-0001-8945-2991"
- family-names: "Gestal"
  given-names: "Marcos"
  orcid: "https://orcid.org/0000-0002-4371-8632"
title: "Machine Learning-Based Radon Monitoring System"
version: 1.0.0
doi: 10.3390/chemosensors10070239
date-released: 2022-06-24
url: "https://github.com/valcarce01/radon-prediction"

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Dependencies

.github/workflows/docker-image.yml actions
  • actions/checkout v3 composite
Dockerfile docker
  • tensorflow/serving latest build
requirements.txt pypi
  • numpy >=1.19.5
  • pandas >=1.3.3
  • tensorflow >=2.8.0