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Journal ArticleDOI

A review of near infrared spectroscopy and chemometrics in pharmaceutical technologies.

TLDR
This review focuses on chemometric techniques and pharmaceutical NIRS applications, covering qualitative analyses, quantitative methods and on-line applications for near-infrared spectroscopy for pharmaceutical forms.
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This article is published in Journal of Pharmaceutical and Biomedical Analysis.The article was published on 2007-07-27. It has received 1041 citations till now.

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Citations
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Journal ArticleDOI

On-line monitoring of vacuum drying of theophylline using NIR spectroscopy: solid-state transitions, water content and semi-empirical modeling

TL;DR: To monitor in-line and at a real time, the solid-state forms during pharmaceuticals manufacturing, a multivariate modeling has been investigated to build a robust model which can predict four components at the same time during drying process.
Journal ArticleDOI

Characterization of α-glucosidase inhibitory activity of Tetracera scandens leaves by Fourier transform infrared spectroscopy-based metabolomics

TL;DR: In this article, the authors investigated the α-glucosidase inhibitory (AGI) potential of different hydromethanolic extracts of T. scandens leaves and established a predictive multivariate model that could be used for the quality evaluation of its extracts.
Journal Article

Near-Infrared Spectroscopy of Yellow Endosperm Pigments in Wheat

TL;DR: It is concluded that NIRS is a valuable selection method to separate a large amount of genotypes in low and high yellow pigment types which subsequently can be analysed by other methods for an exact determination of quantity and quality of endosperm pigments.
References
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Book

Neural Networks: A Comprehensive Foundation

Simon Haykin
TL;DR: Thorough, well-organized, and completely up to date, this book examines all the important aspects of this emerging technology, including the learning process, back-propagation learning, radial-basis function networks, self-organizing systems, modular networks, temporal processing and neurodynamics, and VLSI implementation of neural networks.
Book

Classification and regression trees

Leo Breiman
TL;DR: The methodology used to construct tree structured rules is the focus of a monograph as mentioned in this paper, covering the use of trees as a data analysis method, and in a more mathematical framework, proving some of their fundamental properties.
Journal ArticleDOI

Nearest neighbor pattern classification

TL;DR: The nearest neighbor decision rule assigns to an unclassified sample point the classification of the nearest of a set of previously classified points, so it may be said that half the classification information in an infinite sample set is contained in the nearest neighbor.
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