# Integrating SVR-Based AI for Enhanced Precision in Thorium Nanoparticle Radiation Detection (R² = 0.9999)

**URL:** <https://awg.osdr.space/t/integrating-svr-based-ai-for-enhanced-precision-in-thorium-nanoparticle-radiation-detection-r-0-9999/3856>\
**Category:** RadLab Working Group Topics\
**Created:** [February 11, 2026, 2:14pm UTC](https://awg.osdr.space/t/integrating-svr-based-ai-for-enhanced-precision-in-thorium-nanoparticle-radiation-detection-r-0-9999/3856 "2026-02-11T14:14:19Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![Sevdeckll](https://sea1.discourse-cdn.com/flex001/user_avatar/awg.osdr.space/sevdeckll/32/1779_2.png) [@Sevdeckll](https://awg.osdr.space/u/Sevdeckll)\
**Post date:** [February 11, 2026, 2:14pm UTC](https://awg.osdr.space/t/integrating-svr-based-ai-for-enhanced-precision-in-thorium-nanoparticle-radiation-detection-r-0-9999/3856/1 "2026-02-11T14:14:19Z")

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Hello AWG community, I previously shared an article with you about my project: a real-time radiation detection system using Thorium nanoparticles in a Luminescent Zeolite Matrix. To get straight to the point, after taking Ms. Marina Freitas’ feedback into account, I integrated AI and machine learning into my project. I developed an SVR model, and it achieved an R² score of 0.9999. It’s thanks to her feedback that my project has reached this new milestone. I am truly grateful to you, Ms. @marinafreitas .