Assessing decision-based machine learning algorithms for predicting adsorption efficiency: a detailed study of Mn Fe LDH functionalized La(OH)₃@AC chitosan beads DOI

Hala M. Elshishini,

Gehan M. El‐Subruiti,

Zekry F. Ghatass

et al.

Journal of Water Process Engineering, Journal Year: 2024, Volume and Issue: 69, P. 106678 - 106678

Published: Dec. 2, 2024

Language: Английский

Innovative zero-valent cobalt decoration on MIL-88 A(Fe)@β-CD for high-efficiency and reusable cr(VI) removal DOI Creative Commons
Eman M. Abd El-Monaem, Nouf F. Al‐Harby,

Mervette El Batouti

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 5, 2025

Language: Английский

Citations

0

Effective removal of Cr(VI) from aqueous solutions by covalent organic framework modified with the hyper-crosslinked aniline polymer: Adsorption performance and mechanism DOI
Shaopeng Zhang, Jie Ding, Dayong Tian

et al.

Journal of Molecular Structure, Journal Year: 2025, Volume and Issue: unknown, P. 142410 - 142410

Published: April 1, 2025

Language: Английский

Citations

0

Assessing decision-based machine learning algorithms for predicting adsorption efficiency: a detailed study of Mn Fe LDH functionalized La(OH)₃@AC chitosan beads DOI

Hala M. Elshishini,

Gehan M. El‐Subruiti,

Zekry F. Ghatass

et al.

Journal of Water Process Engineering, Journal Year: 2024, Volume and Issue: 69, P. 106678 - 106678

Published: Dec. 2, 2024

Language: Английский

Citations

1