课题基金 / 基金详情

"Application of Artificial Intelligence in Evaluation of Radon Health Risk in Urban vs Rural houses of Canada and Sweden." This interdisciplinary research will apply predictive machine learning algorithms and geospatial intelligence to assess, predict and

"Application of Artificial Intelligence in Evaluation of Radon Health Risk in Urban vs Rural houses of Canada and Sweden." This interdisciplinary research will apply predictive machine learning algorithms and geospatial intelligence to assess, predict and
“人工智能在加拿大和瑞典城市与农村房屋氡气健康风险评估中的应用。”
批准号：
446278
负责人：
Khan Selim M
金额：
$3.28万
依托单位：
University of Calgary
依托单位国家：
加拿大
项目类别：
Fellowship Programs
财政年份：
2020
资助国家：
加拿大
项目状态：
已结题
起止时间：
2020-12-01 至 2022-12-01
来源：
https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=446278&lang=en
关键词：
Analyze And Compare Evidence Between Canada And Sweden Assess, Predict And Map Out The Causative Patterns Collect Building Metrics, Environment, Human Behaviour Data Develop A New Housing Design To Ensure Indoor Air Quality Engage 'Citizen Scientists'

项目摘要

项目成果

相关文献

中文摘要
翻译
室内空气质量是寒冷国家健康的主要决定因素之一，因为人们大部分时间都在室内度过。在加拿大，室内空气经常受到高放射性氡气的污染，这些氡气是从富含铀的岩石和火山岩中散发出来的。
英文摘要
Indoor air quality is one of the prime determinants of health in cold countries, as people spent most of their time indoors. In Canada, indoor air is frequently polluted by high levels of radioactive radon gas emanating from uranium rich bedrocks and accu
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