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Geocarto International Volume 37, 2022 - Issue 25
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Research Articles

Spatial modeling of radon potential mapping using deep learning algorithms

Mahdi Panahia Geoscience Platform Research Division, Korea Institute of Geoscience and Mineral Resources (KIGAM), Daejeon, Republic of Korea;b Division of Science Education, College of Education, Kangwon National University, Gangwon-do, Republic of KoreaORCID Iconhttps://orcid.org/0000-0001-7601-9208
ORCID Icon,
Peyman Yariyanc Department of Surveying Engineering, Saghez Branch, Islamic Azad University, Saghez, Iran;
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Fatemeh Rezaiea Geoscience Platform Research Division, Korea Institute of Geoscience and Mineral Resources (KIGAM), Daejeon, Republic of Korea;d Korea University of Science and Technology, Daejeon, Republic of KoreaORCID Iconhttps://orcid.org/0000-0001-6992-3119
ORCID Icon,
Sung Won Kime Geology Division, Korea Institute of Geoscience and Mineral Resources (KIGAM), Daejeon, Republic of Korea
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Alireza Sharifif Department of Surveying Engineering, Faculty of Civil Engineering, Shahid Rajaee Teacher Training University, Tehran, IranORCID Iconhttps://orcid.org/0000-0001-7110-7516
ORCID Icon,
Ali Asghar Alesheikhg Faculty of Geodesy and Geomatics Engineering, K.N. Toosi University of Technology, Tehran, IranORCID Iconhttps://orcid.org/0000-0001-9537-9401
ORCID Icon,
Jongchun Leeh Indoor Environment and Noise Research Division, Environmental Infrastructure Research Department, National Institute of Environmental Research, Incheon, Republic of Korea
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Jungsub Leeh Indoor Environment and Noise Research Division, Environmental Infrastructure Research Department, National Institute of Environmental Research, Incheon, Republic of KoreaCorrespondence[email protected] [email protected]
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Seonhong Kimh Indoor Environment and Noise Research Division, Environmental Infrastructure Research Department, National Institute of Environmental Research, Incheon, Republic of Korea
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Juhee Yooh Indoor Environment and Noise Research Division, Environmental Infrastructure Research Department, National Institute of Environmental Research, Incheon, Republic of Korea
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Saro Leea Geoscience Platform Research Division, Korea Institute of Geoscience and Mineral Resources (KIGAM), Daejeon, Republic of Korea;d Korea University of Science and Technology, Daejeon, Republic of KoreaCorrespondence[email protected] [email protected]
ORCID Iconhttps://orcid.org/0000-0003-0409-8263
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Pages 9560-9582 | Received 24 Jun 2021, Accepted 19 Dec 2021, Published online: 05 Jan 2022

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Read on this site (1)

Anurani Girija Rengan, Sabu Joseph & Selvakumar Sellamuthu. (2022) Seasonal and geological controls of radon (222Rn) in groundwater of Vamanapuram river basin, SW India. Geocarto International 37:27, pages 18448-18473.
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Articles from other publishers (1)

Francesco Salvi, Giuseppe Raspa & Giancarlo Torri. (2023) Parametrization identification and characterization of the radon priority areas for indoor radon risk management. Journal of Environmental Radioactivity 261, pages 107120.
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