Towards an automated approach for smart sterility test examination

Towards an automated approach for smart sterility test examination

As new technologies emerge, deep learning applications are often integral parts of new products as features and often as differentiating benefits. This is especially notable in commercial consumer products in everyday applications, such as voice assistants or streaming content recommendation systems...

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Bibliographic Details
Main Authors: Clemens Dierks, Robert Söldner, Kevin Prühl, Niels Wagner, Noushin Delmdahl, Andreas Dominik, Michael W. Olszowy, Jonas Austerjost
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:SLAS Technology
Subjects:
Machine vision
Deep learning
Sterility testing
Anomaly detection
Artificial intelligence
Explainable AI
Online Access:http://www.sciencedirect.com/science/article/pii/S2472630322051779

Internet

http://www.sciencedirect.com/science/article/pii/S2472630322051779

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