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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

Effect of mesoporous characteristics on competitive adsorption kinetics of uremic-like toxin and atorvastatin on spherical carbon adsorbents for an in vitro chronic renal failure therapeutic model

TL;DR: In this article, the pore structures of four carbonaceous adsorbents (SCs) were analyzed using the Hg and gas adsorption methods, and the amount of IA and AT adsorbed on SCs in single-and binary-drug administration tests were measured based on the ultraviolet-visible spectra using classical least squares analysis.

Near infrared spectroscopy method: effect of drying parameters on ibuprofen granules phase transformation

TL;DR: In this paper, the authors used NIR to predict the enthalpy of the formulations and the peak intensity values for three factors and three levels: temperature, diluent, and the levels of Mannitol, Lactose and MCC.
Proceedings ArticleDOI

Non-contact measurement of droplets concentration on the leaf based on Vis/NIR spectroscopy

TL;DR: A rapid, real-time, non-contact and nondestructive way to measure droplets on the leaf was put forward based on Vis/NIR spectroscopy, and the relationship between nondestructureive Vis/ NIRS measurement and droplets concentration was developed.
Journal ArticleDOI

Soft Sensors: Chemoinformatic Model for Efficient Control and Operation in Chemical Plants.

TL;DR: This paper introducessoft sensor, the roles, the applications, the problems and the research examples such as adaptive soft sensor, database monitoring and efficient process control that enable chemical industrial plants to be operated more effectively and stably.
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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