Saro Lee - Search Results

Year	Number of Results
2004	1
2010	1
2011	3
2012	3
2013	2
2014	1
2018	2
2019	2
2020	1
2021	0

1

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

2

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.

3

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.

4

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

5

Application of a weights-of-evidence method and GIS to regional groundwater productivity potential mapping.

Lee S, Kim YS, Oh HJ. Lee S, et al. J Environ Manage. 2012 Apr 15;96(1):91-105. doi: 10.1016/j.jenvman.2011.09.016. Epub 2011 Dec 4. J Environ Manage. 2012. PMID: 22208402

6

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

7

Application of decision tree model for the ground subsidence hazard mapping near abandoned underground coal mines.

Lee S, Park I. Lee S, et al. J Environ Manage. 2013 Sep 30;127:166-76. doi: 10.1016/j.jenvman.2013.04.010. Epub 2013 May 21. J Environ Manage. 2013. PMID: 23702378

8

Spatial prediction of ground subsidence susceptibility using an artificial neural network.

Lee S, Park I, Choi JK. Lee S, et al. Environ Manage. 2012 Feb;49(2):347-58. doi: 10.1007/s00267-011-9766-5. Epub 2011 Oct 18. Environ Manage. 2012. PMID: 22005969

9

Application of likelihood ratio and logistic regression models to landslide susceptibility mapping using GIS.

Lee S. Lee S. Environ Manage. 2004 Aug;34(2):223-32. doi: 10.1007/s00267-003-0077-3. Environ Manage. 2004. PMID: 15559946

10

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

Save citations to file

Email citations

Send citations to clipboard

Add to Collections

Add to My Bibliography

Create a file for external citation management software

Your saved search

Your RSS Feed

Search Page

Search Results