Theses & Dissertations
 
Filters: Department: "Computing" Publication Type: "thesis" Collection: "ir_etd" Type: "Text"
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AuthorTitleSubjectDatePublication Type
1 Cate, Nolan RandolphA fully convolutional deep learning approach for using C-Band satellite radar imagery for forest biomass estimation2019thesis
2 Ying, JianCorrected moran's I statistic2019thesis
3 Redman, SimonCritical reroute: A practical approach to network flow prioritization using segment routing2019thesis
4 Saha, AakankshaDetecting secrets in source code: using machine learning to reduce false positives2019thesis
5 Goparaju, Venkata Seaha Sai AnupamaEvaluation and validation of off-the-shelf statistical shape modeling tools in clinical applications2019thesis
6 Zaheer, ZirakEztrust: Network independent perimeterization for microservices2019thesis
7 Territo, Matthew JosephFlightcontroller2019thesis
8 Christensen, Cameron T.Framework and model for interactive spatiotemporal data analysis and visualization systems2019thesis
9 Pierson, Kyle DavidPrediction of microstructurally small fatigue-crack growth using data-driven analysis and machine learning2019thesis
10 Zhang, MichaelSbolexplorer: data infrastructure and data mining for genetic design repositories2019thesis
11 Samineni, MeherSoftware compliance testing for workflows using the synthetic biology open language2019thesis
12 Cherkaev, AnastasiaSweetpea: A Language for Experimental Design2019thesis
13 Draut, Benjamin RichardSweetpea: toward uniform sampling for experimental design2019thesis
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