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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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Mise en place de la spectroscopie proche infrarouge selon les approches Quality By Design et Lean Six Sigma pour le pilotage en ligne de l’humidité d’une poudre

TL;DR: In this paper, the authors present a mise en place de la spectroscopie proche infrarouge sur un process de sechage for l'analyse en ligne de l'humidite d a poudre.
Journal ArticleDOI

Predicting MAb Product Yields from Cultivation Media Components Using NIR Spectroscopy

TL;DR: This research presents a novel and scalable approach called “SmartLabeling for Biotechnology and Bioengineering” that allows for real-time monitoring of the activity of the immune system through a probabilistic approach.
Proceedings ArticleDOI

NIR rapid assessments of Chinese material medica: simultaneous determination of three major active components of licorice

TL;DR: In this article, a rapid and nondestructive method was used to quantitatively predict the content of three main active components (glycyrrhizin, liquiritin, and isoliquiritin) in licorice by near infrared spectroscopy (NIRS).
Journal ArticleDOI

Chemometric Tools in the Analysis of Pharmaceutics Samples: a Comparison Among Several Multivariate Calibration Methods

TL;DR: In this paper , the results obtained by the use of high-dimensional calibration methods such as partial least squares (PLS) and multi-way partial least-squares (N-PLS), by using UV-Vis spectrophotometric data of first and second-order.
Journal ArticleDOI

Robust PLS Prediction Model for Saikosaponin A in Bupleurum chinense DC. Coupled with Granularity-Hybrid Calibration Set

TL;DR: This study demonstrated particle size effect on the measurement of saikosaponin A in Bupleurum chinense DC by near infrared reflectance (NIR) spectroscopy and developed granularity-hybrid calibration model, which showed better performance than local model.
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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