Browsing by Subject "Data Science"
Now showing items 1-11 of 11
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The drastic emergence of dynamic, heterogeneous, and shared cloud computing clusters has impacted corporations, researchers, and software developers for the past decade. With the aim to improve further the field of cloud ...
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This thesis covers my efforts at researching the factors that lead to a research paper being cited by Wikipedia. Wikipedia is one of the most popular websites on the internet for quickly learning about a specific topic. ...
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TnSeq is a genetic method used to evaluate the essentiality of genes in bacteria, such as Mycobacterium tuberculosis. It uses random insertions by the Himar1 transposon and high throughput sequencing to determine the most ...
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(2021-09-24)The risks and rewards of big data research at Texas A&M University are undocumented and the conveyance of the current practices and needs of researchers across disciplines is difficult to codify. This qualitative needs ...
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(Stochastic Geomechanics Laboratory, 2021-08-16)As part of the CBTS's Distinguished Speaker Series, CBTS and SGL presented the webinar "Breaking Silos: the power of collaboration and abstraction", by Dataiku's Senior Engineer Catalina Herrera. This webinar introduced ...
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(2022-04-13)This study seeks to minimize the likelihood of casing failure using data analysis and machine learning algorithms. The study focuses on the design of a data-driven workflow that can address several challenging aspects that ...
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(2021-07-15)Conventional traffic crash analysis methods often use highly aggregated data, making it difficult to understand the effects of many time-varying factors on crash occurrence. Although studies have used data with small ...
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(2022-10-27)The current article illustrates how multidisciplinary research affects the impact of research and, in turn, enhances utility of total expenditures at Texas A&M University and its peer institutions. The hypothesis is that ...
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(2013-04-23)Learning from data, especially ‘Big Data’, is becoming increasingly popular under names such as Data Mining, Data Science, Machine Learning, Statistical Learning and High Dimensional Data Analysis. In this dissertation we ...
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(2022-12-13)Estimating reserves—economically recoverable volumes of hydrocarbons in a company’s portfolio—requires forecasting hydrocarbon production, which is prone to significant uncertainty and bias. Accurately quantifying this ...
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A model to detect yawning in a video sequence from a regular camera is proposed. Landmark detectors are able to quickly and accurately estimate the pose of a face with various amounts of light and facial expressions. We ...