Prediction enhancement for surface water sodium adsorption ratio using limited inputs: Implementation of hybridized stacked ensemble model with feature selection algorithm-Reference-Cited by-同舟云学术

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Prediction enhancement for surface water sodium adsorption ratio using limited inputs: Implementation of hybridized stacked ensemble model with feature selection algorithm

Published:2024-06 Issue: Volume:134 Page:103561
ISSN:1474-7065
Container-title:Physics and Chemistry of the Earth, Parts A/B/C
language:en
Short-container-title:Physics and Chemistry of the Earth, Parts A/B/C

Author:

Salarijazi Meysam^ORCID,Ahmadianfar Iman,Yaseen Zaher Mundher

Publisher

Elsevier BV

Reference71 articles.

1. Effect of sodium adsorption ratio and electric conductivity of the applied water on infiltration in a sandy-loam soil;Aboukarima;WaterSA,2018

2. An improved adaptive neuro fuzzy inference system model using conjoined metaheuristic algorithms for electrical conductivity prediction;Ahmadianfar;Sci. Rep.,2022

3. Dimensionality reduction for water quality prediction from a data mining perspective;Alamelu Mangai,2020

4. Spatial estimation of aquifer's hydraulic parameters by a combination of borehole data and inverse solution;Ansarifar;Bull. Eng. Geol. Environ.,2020

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2. Comparative Analysis of Nonlinear Methods for Multivariable Water Level Prediction: The Case Study of the Atrato River;Journal of Electrical and Computer Engineering;2024-01

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