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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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Journal ArticleDOI

Variables selection methods in near-infrared spectroscopy.

TL;DR: This review focuses on the variable selection methods in NIR spectroscopy with some classical approaches and sophisticated methods such as successive projections algorithm (SPA), uninformative variable elimination (UVE) and elaborate search-based strategies.
Journal ArticleDOI

Qualitative and quantitative analysis of lignocellulosic biomass using infrared techniques: A mini-review

TL;DR: In this article, the progress and applications of infrared techniques in biomass study, and compares the infrared and the wet chemical methods for composition analysis, are summarized and compared, in addition to reviewing recent studies of biomass structure and composition.
Journal ArticleDOI

Multivariate data analysis in pharmaceutics: a tutorial review.

TL;DR: An overview of latent variable methods used in pharmaceutics and integrated with advanced characterization techniques such as vibrational spectroscopy is provided.
Journal ArticleDOI

Antioxidants: Characterization, natural sources, extraction and analysis

TL;DR: In this paper the main classes of antioxidants are presented: vitamins, carotenoids and polyphenols.
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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