4 papers
A Comparative Evaluation of Sample Selection Algorithms for Multivariate Calibration in Near-Infrared Spectroscopic Analysis of Pharmaceutical Formulations
Aminata Sow, Harouna Sangaré, Fadaba Danioko +1
The construction of robust multivariate calibration models for near-infrared (NIR) spectroscopic analysis necessitates careful partitioning of samples into training and validation…
Techniques of Artificial Intelligence Applied to Near-Infrared Spectra
Aminata Sow, Tidiane Diallo
This article explores the application of various artificial intelligence techniques to the analysis of near-infrared (NIR) spectra of paracetamol, within the spectral range of 900…
Analysis of Local Samples of Paracetamol at Bamako by Reflectance Near-Infrared Spectroscopy
Aminata Sow, Issiaka Traore, Tidiane Diallo +1
The approach of Near-Infrared Spectroscopy (NIRS) together with Chemometric techniques are used in order to analyze sixty (60) tablets of paracetamol of different batch numbers in…
Comparison of Gaussian process regression, partial least squares, random forest and support vector machines for a near infrared calibration of paracetamol samples
Aminata Sow, Issiaka Traore, Tidiane Diallo +2
In this article, we analyze the near-infrared (NIR) spectra of fifty-eight (58) commercial tablets of 500 mg of paracetamol from different origins (that is, with different batch nu…