Prediction of groundwater nitrate concentration in a semiarid region using hybrid Bayesian artificial intelligence approaches-Reference-Cited by-同舟云学术

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Prediction of groundwater nitrate concentration in a semiarid region using hybrid Bayesian artificial intelligence approaches

Published:2021-11-04 Issue: Volume: Page:
ISSN:0944-1344
Container-title:Environmental Science and Pollution Research
language:en
Short-container-title:Environ Sci Pollut Res

Author:

Alkindi Khalifa M.,Mukherjee Kaustuv,Pandey Manish,Arora Aman,Janizadeh Saeid,Pham Quoc Bao,Anh Duong Tran,Ahmadi Kourosh

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s11356-021-17224-9.pdf

Reference67 articles.

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2. Ahmadi K, Kalantar B, Saeidi V, Harandi EKG, Janizadeh S, Ueda N (2020) Comparison of machine learning methods for mapping the stand characteristics of temperate forests using multi-spectral sentinel-2 data. Remote Sens 12:3019

3. Alimohammadi M, Latifi N, Nabizadeh R, Yaghmaeian K, Mahvi AH, Yousefi M, Foroohar P, Hemmati S, Heidarinejad Z (2018) Determination of nitrate concentration and its risk assessment in bottled water in Iran. Data Brief 19:2133–2138

4. Band SS, Janizadeh S, Pal SC, Chowdhuri I, Siabi Z, Norouzi A, Melesse AM, Shokri M, Mosavi A (2020) Comparative analysis of artificial intelligence models for accurate estimation of groundwater nitrate concentration. Sensors 20:5763

5. Baskin II, Winkler D, Tetko IV (2016) A renaissance of neural networks in drug discovery. Expert Opin Drug Discov 11:785–795

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