A Simulated Annealing Approach for Optimal Wavelength Selection in Spectroscopic Analysis of Thyroid Hormones

= 0.970) and resulting in a minimal cross validation root mean squared error (RMSECV) of 0.622 at the 176th iteration. These findings highlight the potential of SA in optimizing wavelength selection for DRS-based thyroid assessments, improving model accuracy and stability while ensuring efficient spectral analysis.

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Publication Details

Journal
Luminescence
Published
2026-05-01
DOI
https://doi.org/10.1002/bio.70500
Primary Topic
Spectroscopy and Chemometric Analyses
Type
article
Field-Weighted Citation Impact
0.00
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article

A Simulated Annealing Approach for Optimal Wavelength Selection in Spectroscopic Analysis of Thyroid Hormones

W. Anto Win Shalini, T. Rajalakshmi, S. V. Vasanthadev Suryakala
Luminescence
Spectroscopy and Chemometric Analyses
article

A Simulated Annealing Approach for Optimal Wavelength Selection in Spectroscopic Analysis of Thyroid Hormones

W. Anto Win Shalini, T. Rajalakshmi, S. V. Vasanthadev Suryakala
article en

Abstract

= 0.970) and resulting in a minimal cross validation root mean squared error (RMSECV) of 0.622 at the 176th iteration. These findings highlight the potential of SA in optimizing wavelength selection for DRS-based thyroid assessments, improving model accuracy and stability while ensuring efficient spectral analysis.

LuminescenceVol. 41(5)
SRM Institute of Science and Technology (IN)
Openalex Percentile: Top 5%
Spectroscopy and Chemometric Analyses
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A Simulated Annealing Approach for Optimal Wavelength Selection in Spectroscopic Analysis of Thyroid Hormones — W. Anto Win Shalini, T. Rajalakshmi, et al. · Luminescence (2026) | TGRS Research Map | TGRS