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Skip to Search Results- 22Graduate and Postdoctoral Studies (GPS), Faculty of
- 22Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 3Toolkit for Grant Success
- 2Agricultural, Food and Nutritional Science, Department of
- 2Agricultural, Food and Nutritional Science, Department of/Journal Articles (Agricultural, Food and Nutritional Science)
- 2Toolkit for Grant Success/Successful Grants (Toolkit for Grant Success)
- 6Department of Civil and Environmental Engineering
- 5Department of Electrical and Computer Engineering
- 4Department of Chemical and Materials Engineering
- 3Department of Computing Science
- 2Department of Earth and Atmospheric Sciences
- 1Department of Mathematical and Statistical Sciences
- 3Deutsch, Clayton (Civil and Environmental Engineering)
- 2Alessi, Daniel (Earth and Atmospheric Sciences)
- 2Jing, Yindi (Electrical and Computer Engineering)
- 2Stevan Dubljevic (Department of Chemical and Materials Engineering)
- 1Ahmad, Rafiq (Mechanical Engineering)
- 1Buro, Michael (Computing Science)
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A framework to automate physical demand analysis based on artificial intelligence and motion capture for workplace safety improvement
DownloadFall 2022
Workers' safety and productivity and its affecting factors, such as ergonomics, are essential aspects of construction projects. Applying ergonomics and realizing the connections among workers and their assigned tasks have indicated a decrease in workers' injuries and discomforts, a beneficial...
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Analysis of genotype-environment interactions from a genome-wide survey of quantitative trait loci in a barley population
Download2010-01-01
Ham, Bangjoo, Spaner, Dean, Rahman, M. H., Yeh, F. C., Yang, Rong-Cai
The presence of genotype-environment interactions (GE) leads to the imperfect genetic correlation between the measurements of the same trait in different environments, thereby limiting the ability of plant breeders to identify superior breeding lines or best cultivars across the environments. We...
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Analysis of linear and nonlinear genotype × environment interaction
2014
The usual analysis of genotype × environment interaction (G × E) is based on the linear regression of genotypic performance on environmental changes (e.g., classic stability analysis). This linear model may often lead to lumping together of the non-linear responses to the whole range of...
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Applications of nonautonomous infinite-dimensional systems control theory for parabolic PDEs
DownloadFall 2013
Parabolic partial differential equations (PDEs) are used as models of transport-reaction phenomena in a variety of different industrial chemical and materials engineering processes, and can yield precise descriptions of process variables with complex temporal and spatially dependent system...
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Spring 2024
The variogram characterizes the spatial variability of a regionalized variable. Variogram calculation and modeling require a significant amount of professional time. The variogram has a significant impact on estimation and simulation, and it has a considerable impact in the mining industry since...
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Beyond Static Classification: Long-term Fairness for Minority Groups via Performative Prediction and Distributionally Robust Optimization
DownloadFall 2022
In recent years machine learning (ML) models have begun to be deployed at enormous scales, but too often without adequate concern for whether or not an ML model will make fair decisions. Fairness in ML is a burgeoning research area, but work to define formal fairness criteria has some serious...
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Spring 2023
There has been a renewed interest in commonsense as a stepping stone toward achieving human-level intelligence. By digesting enormous amounts of data in different forms, such as visual, lingual, and sensory, humans are able to create a world model for themselves. It is hypothesized that this...
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Enhanced Model Tree Application Framework for Developing Interpretable AI in Construction Engineering
DownloadFall 2020
The construction industry has been and continues to be overflown with data. Scholars have no problems dealing with this phenomenon through the incorporation of artificial intelligence (AI) methods like neural networks or random forests. However, when the time comes to practical application, the...
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Estimation, Soft Sensing and Servo-control of Linear Distributed and Lumped Parameter Systems
DownloadFall 2021
State-of-the-art advancements in the realm of industrial process control and monitoring often require accurate descriptions of complex processes and their dynamical behaviours. Usually, many industrial processes are described by partial differential equations (PDE) or ordinary differential...