Symbolic regression with feature selection of dye biosorption from an aqueous solution using pumpkin seed husk using evolutionary computation-based automatic programming methods-Reference-Cited by-同舟云学术

Symbolic regression with feature selection of dye biosorption from an aqueous solution using pumpkin seed husk using evolutionary computation-based automatic programming methods

Published:2023-11 Issue: Volume:231 Page:120676
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Arslan Sibel^ORCID,Kütük Nurşah^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

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1. Genetic Programming for Feature Selection Based on Feature Removal Impact in High-Dimensional Symbolic Regression;IEEE Transactions on Emerging Topics in Computational Intelligence;2024-06

2. Comparison of biosorption behavior and mechanism of La3+, Sm3+, Y3+, Nd3+, Er3+ by Aspergillus niger and Bacillus sp;Journal of Water Process Engineering;2024-03

3. Mangifera indica stone-assisted layered double hydroxide biocomposites: efficient contenders for reactive dye adsorption from aqueous sources;New Journal of Chemistry;2024