A Machine Learning Approach to Qualitatively Evaluate Different Granulation Phases by Acoustic Emissions

A Machine Learning Approach to Qualitatively Evaluate Different Granulation Phases by Acoustic Emissions

Wet granulation is a frequent process in the pharmaceutical industry. As a starting point for numerous dosage forms, the quality of the granulation not only affects subsequent production steps but also impacts the quality of the final product. It is thus crucial and economical to monitor this operat...

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Bibliographic Details
Main Authors: Ruwen Fulek, Selina Ramm, Christian Kiera, Miriam Pein-Hackelbusch, Ulrich Odefey
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Pharmaceutics
Subjects:
wet granulation
acoustic classification
machine learning
convolutional neural networks
Online Access:https://www.mdpi.com/1999-4923/15/8/2153

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https://www.mdpi.com/1999-4923/15/8/2153

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