Big Data, Artificial Intelligence, and Machine Learning Examples for Process Research

Chair(s):
Co-chair(s):
Tan, L., Bristol-Myers Squibb
Acevedo, D. A., U.S. Food and Drug Administration
Papers:
8:00 AM
(288a) Bayesian Optimization of Crude Sulphate Turpentine Conversion to p-Cymene
8:15 AM
(288b) Optimisation of Formulations Using Robotic Experiments Driven By Machine Learning Doe
8:30 AM
(288d) Combining Flow Processing with Machine Learning Accelerated for Accelerated Development and Scaling of New Materials. Case Study: Nanozno Antibacterial Coatings
8:45 AM
(288e) Polyolefin Process Improvement Using Machine Learning
9:00 AM
(288f) Using Artificial Neural Network As a Predictive Tool for Critical Quality Attributes (CQAs) of Continuous Processing of Liposomes
Topics: 
Computing and Systems Engineering

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