Elizabeth A. Cudney

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This project presents two methods for image classification for the detection of malignant melanoma: the Mahalanobis-Taguchi System and Finite State Classifiers. The Mahalanobis-Taguchi System is a diagnosis and predictive method for analyzing patterns in multivariate cases, while Finite State Classifiers are a state based machine learning technique. The(More)
IntroductIon Using the quadratic loss function is one way to quantify a fundamental value in the provision of health care service: we must provide the best care and best service to every patient, every time. Sole reliance on specification limits leads to a focus on " acceptable " performance rather than " ideal " performance. This chapter presents the(More)
Classification for medical diagnosis is an important problem in the field of pattern recognition. We introduce a new method for classification based on repeated analysis of information tailored to small data sets - the Rote Learning Classifier System. Using the Wisconsin Breast Cancer study, this method was compared to three other methods of classification:(More)
Today, the long-term health of any organization depends on their commitment to continuous improvement. Prior research has focused mainly on the effect of continuous improvement practices on performance. In contrast, this research collected data through a survey administered across multiple industries throughout the U.S. and identified the continuous(More)
Stephen has been working to establish a research program that utilizes high-fidelity simulation models for thermo-fluids and energy systems applications. In the fall semester of 2010, Stephen developed and taught a cross-listed undergraduate and graduate level course on simulation-based modeling and design using computational fluid dynamics. Prior to being(More)
Modern day industry is becoming leaner by the day. This demands engineers with an in-depth understanding of lean philosophies. Current methods for teaching lean include hands-on projects and simulation. However, simulation games available in the market lack simplicity, ability to store the results, and modeling power. The goal of this research is to develop(More)
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