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Skip to Search Results- 1Abdulrahim, Dana
- 1Al-Hussein, Riphay
- 1Ali, Mostafa A A
- 1Alvanchi, Amin
- 1Arango Moreno, Camilo
- 1Athar, Khan S
- 20Department of Civil and Environmental Engineering
- 7Department of Computing Science
- 3Humanities Computing
- 2Department of Educational Psychology
- 2Department of Mechanical Engineering
- 1Department of Electrical and Computer Engineering
- 4AbouRizk, Simaan (Civil and Environmental Engineering)
- 3Boulanger, Pierre (Computing Science)
- 3Mohamed, Yasser (Civil and Environmental Engineering)
- 1Abourizk, Simaan (Civil and Environmental Engineering)
- 1Al-Hussein, Mohamed (Civil and Environmental Engineering)
- 1Basu, Anup (Computing Science)
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Fall 2014
The need for increasingly high resolution 3D models and the cost in processing high resolution polygonal meshes have made 3D point clouds an alternative for many researchers in recent years. Considerable research has been devoted to various areas of point clouds. This thesis presents three...
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Fall 2013
In this dissertation, I present a corpus-based, constructionist account of Modern Standard Arabic (MSA) GO verbs (ḏahaba, maḍā, and rāḥa) and COME verbs (atā, ḥaḍara, ǧā’a, and qadima). These seven deictic motion verbs count among the most frequent lexical items in MSA, nevertheless, they are...
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A Framework for Evaluating the Impact of Construction Research and Development on University, Construction Industry, and Government
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Research and development (R&D) partnerships among universities, industries, and government agencies involve investigative activities that may result in new discoveries and innovations. While R&D partnerships are critical for the technological advancement of the construction industry, they require...
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Fall 2014
This research focuses on the accounts payable function in construction firms. The cash conversion cycle includes accounts payable and accounts receivable support functions. Research objectives focus on mapping the existing accounts payable processes in construction, building a model to represent...
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Spring 2017
Changes are commonly required throughout construction projects. Although some changes can be beneficial, most changes are believed to adversely affect project performance. Nevertheless, the matter of change is often overlooked by construction companies and practitioners, thereby resulting in cost...
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A fuzzy consensus building framework for early alignment of construction project teams on the extent of their roles and responsibilities
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This thesis presents a Fuzzy Consensus Building Framework (FCBF), which enables construction project parties to align their teams on their roles and responsibilities early on in their projects. The framework introduces a model that (1) incorporates consensus of construction project teams in...
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Spring 2015
Although much academic research has been performed in the study of construction process simulation, this research has not seen mainstream application in the construction industry. Many factors play a deterrent role in the adoption of simulation by construction end users, mainly the time, cost and...
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A Semantic-Driven Framework for Facilitating Reusability and Interoperability of Construction Simulation Modeling
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This research describes a semantic-driven framework to facilitate reusability and interoperability of simulation and modeling of construction processes. An immense amount of knowledge of construction processes and simulation modeling is needed to develop construction simulation models. Knowledge...
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Fall 2010
A robotically-controlled actuation system has been developed and built to perform active open-loop flow control experiments on transitional and turbulent backward-facing step flows in water. Control of the reattaching shear layer used hydraulic suction-and-blowing actuation emanating from 128...
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An Interactive 3D Visualization Tool to Analyze the Functionality of Convolutional Neural Networks
DownloadFall 2022
Convolutional Neural Networks have outperformed traditional image processing approaches for many image classification tasks. However, despite achieving high classification accuracy on multiple datasets, these machine learning approaches are not transparent and act more like a black box. For this...