Quantitative analysis of heavy metals in ores by X-ray fluorescence with improved CARS and support vector regression using ACOR optimization algorithm.
- DOI
- 10.1016/j.aca.2026.346262
- Published
- 2026 Dec 1
- Container
- Analytica chimica acta
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.aca.2026.346262,
title = {Quantitative analysis of heavy metals in ores by X-ray fluorescence with improved CARS and support vector regression using ACOR optimization algorithm.},
author = {Al-Tameemi AA and Xiao Z and Li F},
year = {2026},
journal = {Analytica chimica acta},
doi = {10.1016/j.aca.2026.346262},
url = {https://doi.org/10.1016/j.aca.2026.346262}
}RIS
TY - JOUR TI - Quantitative analysis of heavy metals in ores by X-ray fluorescence with improved CARS and support vector regression using ACOR optimization algorithm. AU - Al-Tameemi AA AU - Xiao Z AU - Li F PY - 2026 JO - Analytica chimica acta DO - 10.1016/j.aca.2026.346262 UR - https://doi.org/10.1016/j.aca.2026.346262 ER -
APA
AA, A., Z, X., & F, L. (2026). Quantitative analysis of heavy metals in ores by X-ray fluorescence with improved CARS and support vector regression using ACOR optimization algorithm.. Analytica chimica acta. https://doi.org/10.1016/j.aca.2026.346262
Source records
- pubmed · retrieved 2026-11-10T08:53:31.289Z