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Fall 2023

Mokdad, Abdelkerim

Calculating and modeling a variogram from sparsely sampled data can be complex and time-consuming due to the need for expertise in selecting the appropriate parameters and fitting functions to the experimental variogram. To assist with variogram modeling, a novel approach based on Convolutional...

Fall 2021

Rahal, Said Salim

This thesis aims to investigate, develop and advance solution techniques for optimization under uncertainty in process control, scheduling and operations research applications. Decision rule methods offer a rich and flexible framework for solving these classes of problems. Recent literature has...

Spring 2022

Thibault, Jace D

Estimating costs for construction projects is a complex and often uncertain process. Given the inherent uncertainty of estimating and the unique risk profile of each construction project, many owners use cost uncertainty analysis to understand a project’s range of potential costs. Since results...

Spring 2024

Valdivia Paucar, Myzael J.

The presence of uncertainty is acknowledged in various fields of Engineering. Also, there are many sources of uncertainties. In geotechnical engineering, probabilistic slope stability analysis (PSSA) is a tool used to quantify parameter uncertainty. It achieves this by considering any strength...

Spring 2022

Sahir

Reinforcement learning (RL) has shown great success in solving many challenging tasks via the use of deep neural networks. Although the use of deep learning for RL brings immense representational power to the arsenal, it also causes sample inefficiency. This means that the algorithms are...

Fall 2020

Nachimuthu,Sathishkumar

Wind energy is an important renewable resource to meet the continually increasing global energy demand. The high wind power potential in the sea has led to the development of wind farms in the sea, referred to as offshore wind farms (OWFs). OWFs are an array of wind turbines built in the sea to...

Fall 2010

Wilde, Brandon Jesse

Modeling spatial variables involves uncertainty. Uncertainty is affected by the degree to which a spatial variable has been sampled: decreased spacing between samples leads to decreased uncertainty. The reduction in uncertainty due to increased sampling is dependent on the properties of the...

Spring 2011

Genuis, Shelagh K.

While evidence-based practice and knowledge translation (or transfer) has garnered much attention, research has not focused on health information as provisional and emergent, and on knowledge translation (KT) as a process of social construction. The challenge of evolving information is magnified...

Fall 2022

Di Lullo, Giovanni Roberto

Life cycle assessment (LCA) is becoming a popular tool to quantify environmental impacts including greenhouse gas (GHG) emissions. Because of the high number of assumptions and low quality of available data, the results of LCA are often viewed with skepticism. It is common for studies to provide...

Spring 2016

Stralberg, Diana

Often referred to as North America’s bird nursery, the boreal forest biome provides a productive environment for breeding birds, supporting high species diversity and bird numbers. These birds are likely to shift their distributions northward in response to rapid climate change over the next...