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Year | Number of Results |
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2018 | 2 |
2020 | 2 |
2022 | 2 |
2023 | 1 |
2024 | 0 |
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Page 1
Groundwater Arsenic Contamination in the Ganga River Basin: A Future Health Danger.
Int J Environ Res Public Health. 2018 Jan 23;15(2):180. doi: 10.3390/ijerph15020180.
Int J Environ Res Public Health. 2018.
PMID: 29360747
Free PMC article.
Review.
Predicting sustainable arsenic mitigation using machine learning techniques.
Singh SK, Taylor RW, Pradhan B, Shirzadi A, Pham BT.
Singh SK, et al.
Ecotoxicol Environ Saf. 2022 Mar 1;232:113271. doi: 10.1016/j.ecoenv.2022.113271. Epub 2022 Feb 1.
Ecotoxicol Environ Saf. 2022.
PMID: 35121252
Free article.
Item in Clipboard
COVID-19: A master stroke of Nature.
Singh SK.
Singh SK.
AIMS Public Health. 2020 Jun 22;7(2):393-402. doi: 10.3934/publichealth.2020033. eCollection 2020.
AIMS Public Health. 2020.
PMID: 32617365
Free PMC article.
Item in Clipboard
Influence of differential arsenic exposure on cellular redox homeostasis of exposed rural women of West Bengal.
Prasad P, Singh SK, Ghosh S, Dutta S, Sinha D.
Prasad P, et al.
Environ Sci Pollut Res Int. 2023 Jan;30(3):7836-7850. doi: 10.1007/s11356-022-22657-x. Epub 2022 Aug 31.
Environ Sci Pollut Res Int. 2023.
PMID: 36044145
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Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms.
Nhu VH, Shirzadi A, Shahabi H, Singh SK, Al-Ansari N, Clague JJ, Jaafari A, Chen W, Miraki S, Dou J, Luu C, Górski K, Thai Pham B, Nguyen HD, Ahmad BB.
Nhu VH, et al. Among authors: singh sk.
Int J Environ Res Public Health. 2020 Apr 16;17(8):2749. doi: 10.3390/ijerph17082749.
Int J Environ Res Public Health. 2020.
PMID: 32316191
Free PMC article.
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Developing robust arsenic awareness prediction models using machine learning algorithms.
Singh SK, Taylor RW, Rahman MM, Pradhan B.
Singh SK, et al.
J Environ Manage. 2018 Apr 1;211:125-137. doi: 10.1016/j.jenvman.2018.01.044. Epub 2018 Feb 4.
J Environ Manage. 2018.
PMID: 29408061
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