Artificial Intelligence Tools for Early Detection of Product Defects in the Pharmaceutical Industry
Author:
Affiliation:
1. University of Johannesburg,Faculty of Engineering and The Built Enviroment,South Africa
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10480909/10480924/10481016.pdf?arnumber=10481016
Reference29 articles.
1. Application of automation for in-line quality inspection, a zero-defect manufacturing approach;Azamfirei;Journal of Manufacturing Systems,2023
2. Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review
3. Applied machine learning for a zero defect tolerance system in the automated assembly of pharmaceutical devices
4. Annex 1-manufacture of sterile medicinal products: The Rules Governing Medicinal Products in the European Union, Volume 4 EU Guidelines for Good Manufacturing Practices for medical products for human and veterinary use;Brussels,2022
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