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- 3Experimental design
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- 1Debnath, Sarupa
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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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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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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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Spring 2011
Optimal experiment design has been considered as an effective tool to improve model reliability and accuracy in nonlinear system identification in the past few decades. This thesis is concerned with the following challenges which have not been previously addressed: poor initial guess problem of...
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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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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...
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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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2003
Kouritzin, Michael, Ma, Xinjian, Long, Hongwei, Sun, Wei
Nonlinear filtering is an important and effective tool for handling estimation of signals when observations are incomplete, distorted, and corrupted. Quite often in real world applications, the signals to be estimated contain unknown parameters which need to be determined. Herein, we develop and...