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Interpretable artificial neural networks for retrospective QbD of pharmaceutical tablet manufacturing based on a pilot-scale developmental dataset
by
Nagy, Brigitta
,
Szabados-Nacsa, Ágnes
,
Fülöp, Gergő
,
Turák Nagyné, Anikó
,
Galata, Dorián László
,
Farkas, Attila
,
Mészáros, Lilla Alexandra
,
Nagy, Zsombor Kristóf
,
Marosi, György
Published in
International journal of pharmaceutics
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International Journal Of Pharmaceutics
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Subjects
Dissolution Prediction
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Explainable Artificial Intelligence
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Hypromellose Derivatives
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Interpretable Artificial Neural Network
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Life Sciences & Biomedicine
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Neural Networks, Computer
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Pharma 4.0
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Pharmacology & Pharmacy
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Real-Time Release Testing
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Retrospective Quality By Design
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Retrospective Studies
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Science & Technology
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Spectrum Analysis
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Tablets - Chemistry
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Technology, Pharmaceutical - Methods
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Elsevier
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