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- 2Estimability
- 2Kinetic model
- 2Moving horizon estimation
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- 1Aeration
- 1Debnath, Sarupa
- 1Dobson, Peter
- 1Ghosh, Kushankur
- 1Han, Ruijing
- 1Hosseini, Amir Hossein
- 1Kouritzin, Michael
- 11Graduate and Postdoctoral Studies (GPS), Faculty of
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- 5Department of Chemical and Materials Engineering
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- 2Huang, Biao (Chemical and Materials Engineering)
- 1Ben-Zvi, Amos (Chemical and Materials Engineering)
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- 1Deutsch, Clayton (Civil and Environmental Engineering)
- 1Hayes, Robert (Chemical and Materials Engineering)
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Spring 2024
Modern industries are increasingly embracing complex, large-scale processes with interconnected units for their economic benefits. The increasing scale of industrial processes and the complexity of unit interactions substantially complicate the development of advanced process control systems....
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Spring 2024
In machine learning and data mining, outliers—data points significantly differing from the majority—often pose challenges by introducing irrelevant information. Unsupervised methods are often used for detecting them as the information about outliers is unknown. Global-Local Outlier Scores based...
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CFD Modelling of Bioprocesses: Integrating Mechanical Mixing, Aeration and Dynamic Rheology
DownloadFall 2021
Sadino Riquelme, Maria Constanza
Bioprocesses currently have a huge importance in worldwide sustainable development. However, the design of bioreactors based on experimental and empirical knowledge poses a challenge for the industrial biotechnology. Thus, CFD has gained attention as a design tool. Although CFD modelling has...
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2020-03-31
Samuel M. Fischer, Mark A. Lewis
Profile likelihood confidence intervals are a robust alternative toWald’s method if the asymptotic properties of the maximum likelihood estimator are not met. However, the constrained optimization problem defining profile likelihood confidence intervals can be difficult to solve in these...
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Fall 2019
Measurements in the process industry can arrive with fast or slow sampling rates. Fast measurements such as flowrate and temperature are sampled frequently and are obtained instantly after sampling. The slow measurements, which are usually related with chemical quality variables such as product...
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Parameter Estimation of Mathematical Models: Estimation of the Burden of HIV Epidemics as a Case Study
DownloadFall 2016
Mathematical models are widely used to describe dynamics in various fields. In practice, it is necessary and important to determine model parameters based on existing data. A major challenge for parameter estimation under modeling framework lies in non-identifiability issue: parameter values on a...
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Fall 2015
The validity and reliability of a test may be compromised because of the presence of misfitting response patterns in test data. Consequently, the purpose of the present study was to investigate the effects of the inclusion and exclusion of misfitting response patterns on item parameter estimates...
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Spring 2013
Parameter estimation of a dynamic system is an important task in process systems engineering. The utilization of an augmented system offers the approach of estimating process states and parameters simultaneously. In practice, the parameters often satisfy certain constraints which should be...
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Spring 2011
One of heavy oils upgrading processes is hydroconversion. As it is a complex process involving many chemical reactions, the mathematical model of hydroconversion process often has more kinetic parameters than can be estimated from the data. In this thesis, a model for hydroconversion processing...
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Fall 2011
Computer modeling is critical for catalyst layer (CL) design in polymer electrolyte membrane fuel cells. Water-filled and ionomer-filled agglomerate models have been suggested as representations of the CL microstructure. In this thesis, improved water-filled and ionomer-filled agglomerate models...