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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.
About
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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NIR spectral signatures of flexor and extensor muscles of the upper and lower limb in humans at varying lengths

TL;DR: It was showed that chemometric analysis applied to NIR spectra acquired from the upper limb distinguishes the biceps from the triceps, and optical spectroscopy proves effective for studying human muscles in vivo and contribute to non-invasive more thorough evaluation of the muscular system.
Proceedings ArticleDOI

Development and Validation of a Portable AOTF-NIR Measurement Method for the Determination of Baicalin in Yinhuang Oral Solution

TL;DR: Li et al. as discussed by the authors developed and validated a hand-held AOTF-NIR measurement method enable to accurately determine low dose of Chinese Herbal Medicines (CHM). Yinhuang oral solutions were taken as an example, and an experimental protocol was then followed, involving two operators and independent production lots for data acquisition.
Journal ArticleDOI

Near-infrared spectroscopic identification and quantification of active pharmaceutical ingredients in closed capsules: a feasibility study for pediatric doses

TL;DR: 3D printed NIR spectroscopy sample holders were evaluated as means for improvement of quality checks of pharmacy compounded capsules.
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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