Search Results - "Yoo, Juhee"

Spatial modeling of geogenic indoor radon distribution in Chungcheongnam-do, South Korea using enhanced machine learning algorithms by Rezaie, Fatemeh, Panahi, Mahdi, Bateni, Sayed M., Kim, Seonhong, Lee, Jongchun, Lee, Jungsub, Yoo, Juhee, Kim, Hyesu, Won Kim, Sung, Lee, Saro

“…[Display omitted] •Three novel machine learning models were developed to generate radon potential map.•Soil properties and local geology significantly affected…”
Get full text

Application of Machine Learning Algorithms for Geogenic Radon Potential Mapping in Danyang-Gun, South Korea by Rezaie, Fatemeh, Kim, Sung Won, Alizadeh, Mohsen, Panahi, Mahdi, Kim, Hyesu, Kim, Seonhong, Lee, Jongchun, Lee, Jungsub, Yoo, Juhee, Lee, Saro

“…Continuous generation of radon gas by soil and rocks rich in components of the uranium chain, along with prolonged inhalation of radon progeny in enclosed…”
Get full text

Radon potential mapping in Jangsu-gun, South Korea using probabilistic and deep learning algorithms by Rezaie, Fatemeh, Panahi, Mahdi, Lee, Jongchun, Lee, Jungsub, Kim, Seonhong, Yoo, Juhee, Lee, Saro

“…The adverse health effects associated with the inhalation and ingestion of naturally occurring radon gas produced during the uranium decay chain mean that…”
Get full text

Estimation and validation of the corrected short-term model for radon exhalation rate on building materials by Park, Boram, Yoo, Juhee, Kim, Gahyun, Lee, Jungsub, Lee, Jongchun, Shin, Sunkyoung, Kim, Seonhong

“…This study presents a corrected short-term model using the slope correction factor based on existing short-term models for estimating radon exhalation rates of…”
Get full text

Spatial modeling of radon potential mapping using deep learning algorithms by Panahi, Mahdi, Yariyan, Peyman, Rezaie, Fatemeh, Kim, Sung Won, Sharifi, Alireza, Alesheikh, Ali Asghar, Lee, Jongchun, Lee, Jungsub, Kim, Seonhong, Yoo, Juhee, Lee, Saro

“…Radon potential mapping is challenging due to the limited availability of information. In this study, a new modeling process using deep learning models based…”
Get full text

International intercomparison and quality assessment of passive and active 222Rn measuring devices in the Asia-Pacific region by Karunakara, N., Vijith, A.P., Mishra, Rosaline, Sahoo, B.K., Janik, Miroslaw, Kumara, Sudeep, Sapra, B.K., Tokonami, Shinji, Kranrod, Chutima, Chandrasekaran, S., Chitra, N., Kim, Seon hong, Yoo, Juhee, Zhao, Chao, Chen, Bo, Kim, Hong-Gi, Kim, Jin-il, Holecek, Josef, Cuong, Le Dinh

“…Intercomparison exercise is an integral part of the quality assurance programmes in 222Rn measurements using active and passive devices. Ensuring the accuracy…”
Get full text

A Comparison of Measurement Methods of Indoor Ammonia in New Buildings by Yoo, Juhee, Seo, Sooyun, Jang, Seoungki, Kim, Hyeondo

Get full text