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Now showing items 11-20 of 29
Forecasting for nonlinear and nonstationary systems using intrinsic functional decomposition models
(2014-12)
The purpose of this study is to develop nonlinear and nonstationary time series forecasting methods to address modeling and prediction of real-world, complex systems. Particular emphasis has been placed on nonlinear and ...
Truckload freight transportation utilizing relay points to improve the driving job
(2012-07)
We propose a relay point based approach on a highway transportation network to obtain robust solutions for the truck driver turnover and driver retention problem. We exploit the characteristics of the driver routing problem ...
Sensor based real-time process monitoring for ultra-precision manufacturing processes with non-linearity and non-stationarity
(2013-07)
This research investigates methodologies for real-time process monitoring in ultra-precision manufacturing processes, specifically, chemical mechanical planarization (CMP) and ultra-precision machining (UPM), are investigated ...
Proactive approaches for system design under uncertainty applied to network synthesis and capacity planning
(2015-12)
The need to design systems under uncertainty arises frequently in applications such as telecommunication network configuration, airline hub-and-spoke/inter-hub network design, power grid design, transportation system design, ...
Developing Clinical Decision Support Systems for Sepsis Prediction Using Temporal and Non-Temporal Machine Learning Methods
(2019-07)
In healthcare, diagnostic errors represent the biggest challenge to synthesize accurate treatments. In the United States, patient deaths due to misdiagnoses are estimated at 40,000 to 80,000 per year. It was also found ...
Developing and deploying data mining techniques in healthcare
(2017-07)
Improving healthcare is a top priority for all nations. US healthcare expenditure was $3 trillion in 2014. In the same year, the share of GDP assigned to healthcare expenditure was 17.5%. These statistics shows the importance ...
Optimization under uncertainty models in power systems operations
(2019-07)
Uncertainty is a critical issue in many power system problems. While distributed energy resources (DERs) like solar panels and wind turbines are exciting energy sources in meeting the nation's increasing energy demand, ...
Comparing the performance of ordinal logistic regression and artificial neural network when analyzing ordinal data
(2012-07)
Scope and Method of Study: The purpose of this study is to compare the performance of the Ordinal Logistic Regression (OLR) and Artificial Neural Network (ANN) models when analyzing ordinal data using different scenarios ...
Economic impact failure mode and effects analysis
(2017-12)
Failure mode and effects analysis (FMEA) is a method for reducing or eliminating failure modes in a system. A failure mode occurs when a system does not meet its specification. While FMEA is widely used in different ...
Supply chain coordination under sales effort free riding
(2012-07)
We study a supply chain with one manufacturer and two retail channels, where an online retailer offers a lower price and free-rides a brick-and-mortar retailer's sales effort. The free riding effect reduces brick-and-mortar ...