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Tags: Machine learning-driven non-destructive evaluation (ML-NDE)

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  1. Machine learning modeling for ultrasonic quality attribute assessment of pharmaceutical tablets for continuous manufacturing and real-time release testing

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    23 Jul 2024 | Contributor(s):: Sultan, Tipu, Rozin, Enamul Hasan, Paul, Shubhajit, Tseng, Yin-Chao, Dave, Vivek S., Cetinkaya, Cetin

    In in-process quality monitoring for Continuous Manufacturing (CM) and Critical Quality Attributes (CQA) assessment for Real-time Release (RTR) testing, ultrasonic characterization is a critical technology for its direct, non-invasive, rapid, and cost-effective nature. In quality evaluation with...