Calvin Tsay
According to our database1,
Calvin Tsay
authored at least 10 papers
between 2017 and 2021.
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Bibliography
2021
Partition-based formulations for mixed-integer optimization of trained ReLU neural networks.
CoRR, 2021
CoRR, 2021
2020
Identification and online updating of dynamic models for demand response of an industrial air separation unit.
CoRR, 2020
2019
Learning latent variable dynamic models for integrated production scheduling and control.
CoRR, 2019
Optimal demand response scheduling of an industrial air separation unit using data-driven dynamic models.
Comput. Chem. Eng., 2019
Automating Visual Inspection of Lyophilized Drug Products With Multi-Input Deep Neural Networks.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019
2018
A survey of optimal process design capabilities and practices in the chemical and petrochemical industries.
Comput. Chem. Eng., 2018
A simulation-based optimization framework for integrating scheduling and model predictive control, and its application to air separation units.
Comput. Chem. Eng., 2018
2017
A superstructure-based design of experiments framework for simultaneous domain-restricted model identification and parameter estimation.
Comput. Chem. Eng., 2017
Pseudo-transient models for multiscale, multiresolution simulation and optimization of intensified reaction/separation/recycle processes: Framework and a dimethyl ether production case study.
Comput. Chem. Eng., 2017