Federal Office for Radiation Protection (BfS) Reports Findings in Machine Learni ng (Development of a High-Resolution Indoor Radon Map Using a New Machine Learni ng-Based Probabilistic Model and German Radon Survey Data)

Robotics & Machine Learning Daily News2024，Issue(Oct.1) ：64-65.

来源：

NETL
NSTL

Federal Office for Radiation Protection (BfS) Reports Findings in Machine Learni ng (Development of a High-Resolution Indoor Radon Map Using a New Machine Learni ng-Based Probabilistic Model and German Radon Survey Data)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating from Berlin, Germ any, by NewsRx correspondents, research stated, “Radon is a carcinogenic, radioa ctive gas that can accumulate indoors and is undetected by human senses. Therefo re, accurate knowledge of indoor radon concentration is crucial for assessing ra don-related health effects or identifying radon-prone areas.”

Key words

Berlin/Germany/Europe/Cyborgs/Emergi ng Technologies/Machine Learning/Radioactive Elements/Radon

引用本文复制引用

出版年

2024

Robotics & Machine Learning Daily News

ISSN：

段落导航