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Showing 1 to 4 of 4 for “"Bayesian linear regression"”.
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Development of a Bayesian linear regression model for the detection of a weak radiological source from gamma spectra measurements
… Previous research has been conducted on using a Bayesian model to develop a decision parameter for weak source detection. The use of a Bayesian model has been shown in laboratory settings to outperform the traditional frequentist method. However, the model tested was designed for gross counts …
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A novel spatiotemporal framework for efficient traffic prediction and visualization
… three major components, data extraction, Bayesian Linear Regression-based traffic prediction model, and an interactive map-based traffic simulator to visualize the results. To collect traffic data, we have developed an open-source web-based data scraper tool to extract and export publicly …
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Generating Exploration Mission-3 Trajectories to a 9:2 NRHO Using Machine Learning
… maneuvers through a mission to a Near Rectilinear Halo Orbit (NRHO) with a 9:2 synodic frequency. Current launch availability knowledge under NASA’s Orion Orbit Performance Team is established by altering optimization variables associated to given reference launch epochs. This current method …
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Atomistic modelling of precipitation in Ni-base superalloys
… In the first part of this work we develop robust Bayesian classifiers to identify the $\gamma^{\prime}$ phase in large scale simulation boxes at high temperatures around 1500 K. We observe significant \gamma^{\prime} ordering in the simulations in the form of clusters of $\gamma^{\prime}$-like …