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Block GP is a Gaussian Process regression framework for multimodal data, that can be an order of magnitude more scalable than existing state-of-the-art nonlinear regression algorithms. The...
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Python scripts and Python+Qt graphical user interface for calculating Feldman-Cousins confidence intervals for low-count Poisson processes in the presence of a known background and for Gaussian...
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This submission includes three peer-reviewed (under review) papers from the researchers at North Carolina State University presenting control-based techniques to maximize effectiveness of a...
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Two papers submitted (and accepted) to the 2021 American Control Conference (ACC), both focused on different attributes of kite control in variable flow environments. Siddiqui et. al. focuses on...
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