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Year Number of Results
2004 1
2010 1
2011 3
2012 3
2013 2
2014 1
2018 2
2019 2
2020 1
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Page 1
Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms.
Tien Bui D, Shahabi H, Shirzadi A, Chapi K, Pradhan B, Chen W, Khosravi K, Panahi M, Bin Ahmad B, Saro L. Tien Bui D, et al. Among authors: saro l. Sensors (Basel). 2018 Jul 31;18(8):2464. doi: 10.3390/s18082464. Sensors (Basel). 2018. PMID: 30065216 Free PMC article.
Modelling gully-erosion susceptibility in a semi-arid region, Iran: Investigation of applicability of certainty factor and maximum entropy models.
Azareh A, Rahmati O, Rafiei-Sardooi E, Sankey JB, Lee S, Shahabi H, Ahmad BB. Azareh A, et al. Among authors: lee s. Sci Total Environ. 2019 Mar 10;655:684-696. doi: 10.1016/j.scitotenv.2018.11.235. Epub 2018 Nov 17. Sci Total Environ. 2019. PMID: 30476849
A Novel Ensemble Artificial Intelligence Approach for Gully Erosion Mapping in a Semi-Arid Watershed (Iran).
Tien Bui D, Shirzadi A, Shahabi H, Chapi K, Omidavr E, Pham BT, Talebpour Asl D, Khaledian H, Pradhan B, Panahi M, Bin Ahmad B, Rahmani H, Gróf G, Lee S. Tien Bui D, et al. Among authors: lee s. Sensors (Basel). 2019 May 29;19(11):2444. doi: 10.3390/s19112444. Sensors (Basel). 2019. PMID: 31146336 Free PMC article.
Groundwater productivity potential mapping using evidential belief function.
Park I, Kim Y, Lee S. Park I, et al. Among authors: lee s. Ground Water. 2014 Sep;52 Suppl 1:201-7. doi: 10.1111/gwat.12197. Epub 2014 May 19. Ground Water. 2014. PMID: 24841077
Spatial prediction of landslide susceptibility using hybrid support vector regression (SVR) and the adaptive neuro-fuzzy inference system (ANFIS) with various metaheuristic algorithms.
Panahi M, Gayen A, Pourghasemi HR, Rezaie F, Lee S. Panahi M, et al. Among authors: lee s. Sci Total Environ. 2020 Nov 1;741:139937. doi: 10.1016/j.scitotenv.2020.139937. Epub 2020 Jun 7. Sci Total Environ. 2020. PMID: 32574917
Macrobenthos habitat potential mapping using GIS-based artificial neural network models.
Lee S, Park I, Koo BJ, Ryu JH, Choi JK, Woo HJ. Lee S, et al. Mar Pollut Bull. 2013 Feb 15;67(1-2):177-86. doi: 10.1016/j.marpolbul.2012.10.023. Epub 2012 Dec 20. Mar Pollut Bull. 2013. PMID: 23260647
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