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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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A fuzzy consensus building framework for early alignment of construction project teams on the extent of their roles and responsibilities
DownloadFall 2010
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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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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2020-08-01
Artificial Intelligence (AI) is a technology that is quickly becoming part of our digital infrastructure and woven into aspects of daily life. AI has the potential to impact society in many positive ways. However, there are numerous examples of AI systems that are operating in ways that are...
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Expansion of ruminant-specific microRNAs shapes target gene expression divergence between ruminant and non-ruminant species
Download2013
Kommadath, A., Bao, H., Meng, Y., Plastow, G. S., Stothard, P., Sun, X., Arantes, A. S., Guan, L. L.
Background Understanding how species-specific microRNAs (miRNAs) contribute to species-specific phenotypes is a central topic in biology. This study aimed to elucidate the role of ruminant-specific miRNAs in shaping mRNA expression divergence between ruminant and non-ruminant species. ...
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Spring 2011
Grapheme-to-phoneme conversion (G2P) is the task of converting a word, represented by a sequence of graphemes, to its pronunciation, represented by a sequence of phonemes. The G2P task plays a crucial role in speech synthesis systems, and is an important part of other applications, including...
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Identification of a putative quantitative trait nucleotide in guanylate binding protein 5 for host response to PRRS virus infection
Download2015
Choi, I., Guan, L., Plastow, G. S., Liu, P., Koltes, J. E., Loyd, H., Boddicker, N. J., Eisley, C. J., Schroyen, M., Bao, H., Dekkers, J. C. M., Kommadath, A., Abrams, S. M., Reecy, J. M., Rowland, R. R. R., Serão, N. V. L., Lunney, J. K., Carpenter, S., Stothard, P., Fritz-Waters, E., Tuggle, C. K.
Background Previously, we identified a major quantitative trait locus (QTL) for host response to Porcine Respiratory and Reproductive Syndrome virus (PRRSV) infection in high linkage disequilibrium (LD) with SNP rs80800372 on Sus scrofa chromosome 4 (SSC4). Results Within this QTL,...