Selection of surrogate modeling techniques for surface approximation and surrogate-based optimization
B Williams, S Cremaschi - Chemical Engineering Research and Design, 2021 - Elsevier
Surrogate models are used to map input data to output data when the actual relationship
between the two is unknown or computationally expensive to evaluate for several …
between the two is unknown or computationally expensive to evaluate for several …
Digital twinning and optimization of manufacturing process flows
The new wave of Industry 4.0 is transforming manufacturing factories into data-rich
environments. This provides an unprecedented opportunity to feed large amounts of sensing …
environments. This provides an unprecedented opportunity to feed large amounts of sensing …
Prediction of human induced pluripotent stem cell cardiac differentiation outcome by multifactorial process modeling
B Williams, W Löbel, F Finklea, C Halloin… - … in bioengineering and …, 2020 - frontiersin.org
Human cardiomyocytes (CMs) have potential for use in therapeutic cell therapy and high-
throughput drug screening. Because of the inability to expand adult CMs, their large-scale …
throughput drug screening. Because of the inability to expand adult CMs, their large-scale …
Reduced hybrid/complex N-glycosylation disrupts cardiac electrical signaling and calcium handling in a model of dilated cardiomyopathy
AR Ednie, AR Parrish, MJ Sonner… - Journal of Molecular and …, 2019 - Elsevier
Dilated cardiomyopathy (DCM) is the third most common cause of heart failure, with~ 70% of
DCM cases considered idiopathic. We showed recently, through genetic ablation of the …
DCM cases considered idiopathic. We showed recently, through genetic ablation of the …
Generalized polynomial chaos-based uncertainty quantification and propagation in multi-scale modeling of cardiac electrophysiology
Uncertainty and physiological variability are ubiquitous in cardiac electrical signaling. It is
important to address the uncertainty and variability in cardiac modeling to provide reliable …
important to address the uncertainty and variability in cardiac modeling to provide reliable …
Aberrant sialylation causes dilated cardiomyopathy and stress-induced heart failure
W Deng, AR Ednie, J Qi, ES Bennett - Basic research in cardiology, 2016 - Springer
Dilated cardiomyopathy (DCM), the third most common cause of heart failure, is often
associated with arrhythmias and sudden cardiac death if not controlled. The majority of DCM …
associated with arrhythmias and sudden cardiac death if not controlled. The majority of DCM …
[PDF][PDF] Epidemic informatics and control: A holistic approach from system informatics to epidemic response and risk management in public health
Epidemic outbreaks such as Coronavirus disease 2019 (COVID-19) impact the health of our
society and bring significant disruptions to the US and the world. Each country has to …
society and bring significant disruptions to the US and the world. Each country has to …
Comparison of stochastic fault detection and classification algorithms for nonlinear chemical processes
Y Du, H Budman, TA Duever - Computers & Chemical Engineering, 2017 - Elsevier
This paper presents a comparative study of two methods to identify and classify intermittent
stochastic faults occurring in a dynamic nonlinear chemical process. The methods are based …
stochastic faults occurring in a dynamic nonlinear chemical process. The methods are based …
Network modeling and analysis of COVID-19 testing strategies
The COVID-19 preparedness plans by the Centers for Disease Control and Prevention
strongly underscores the need for efficient and effective testing strategies. This, in turn, calls …
strongly underscores the need for efficient and effective testing strategies. This, in turn, calls …
Digital Twin Simulation and Optimization of Manufacturing Process Flows
The new wave of Industry 4.0 is transforming manufacturing factories into data-rich
environments. This provides an unprecedented opportunity to feed large amount of sensing …
environments. This provides an unprecedented opportunity to feed large amount of sensing …