Comparison of conventional linear regression method and interpretable artificial neural network for copper determination using optical emission spectroscopy of solution cathode glow discharge-Reference-Cited by-同舟云学术

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Comparison of conventional linear regression method and interpretable artificial neural network for copper determination using optical emission spectroscopy of solution cathode glow discharge

Published:2024-09 Issue: Volume:219 Page:107000
ISSN:0584-8547
Container-title:Spectrochimica Acta Part B: Atomic Spectroscopy
language:en
Short-container-title:Spectrochimica Acta Part B: Atomic Spectroscopy

Author:

Khanh Hoang Bao,Duy Nguyen Lam,Tien Nguyen Anh,Khang Nguyen Huynh Duy

Publisher

Elsevier BV

Reference40 articles.

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2. In situ solution plasma synthesis of nitrogen-doped carbon nanoparticles as metal-free electrocatalysts for the oxygen reduction reaction;Panomsuwan;J. Mater. Chem. A,2014

3. Solution plasma synthesis of a boron-carbon-nitrogen catalyst with a controllable bond structure;Lee;Phys. Chem. Chem. Phys.,2017

4. Mine water treatment with limestone for sulfate removal;Silva;J. Hazard. Mater.,2012

5. Plasmonic chemically modified cotton nanocomposite fibers for efficient solar water desalination and wastewater treatment;Kiriarachchi;Nanoscale,2018

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