Optimization of hydrochar production from almond shells using response surface methodology, artificial neural network, support vector machine and XGBoost-Reference-Cited by-同舟云学术

Optimization of hydrochar production from almond shells using response surface methodology, artificial neural network, support vector machine and XGBoost

Published:2024-01 Issue: Volume:317 Page:100154
ISSN:1944-3986
Container-title:Desalination and Water Treatment
language:en
Short-container-title:Desalination and Water Treatment

Author:

El Ouadrhiri Faiçal,Adachi Abderrazzak,Mehdaoui Imane,Moussaoui Fatima,Fouad Khalil,Lhassani Abdelhadi,Chaouch Mehdi,Lahkimi Amal

Publisher

Elsevier BV

Reference45 articles.

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4. Nitrogen and phosphorus co-doped carbocatalyst for efficient organic pollutant removal through persulfate-based advanced oxidation processes;El Ouadrhiri;J Saudi Chem Soc,2023

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1. Enhancing hydrochar production and proprieties from biogenic waste: Merging response surface methodology and machine learning for organic pollutant remediation;Journal of Saudi Chemical Society;2024-09

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