Data-driven analysis and forecast of indoor radon concentration using Recurrent Neural Networks and explainable AI

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Daniel Binks, M-R Ioan, Ioana Lalău, Ivelina S. Dimitrova, Krasimir K. Mitev, V Livini
DOI: 10.5281/zenodo.18261385
Cited by: 0

Abstract

Presentation of the first analysis of radon measurment with Neral Networks and explainable AI during the MATHMET workshop.

Fields of Study & Subjects

Radioactivity and Radon Measurements Air Quality Monitoring and Forecasting Solar Radiation and Photovoltaics

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 January 2026