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develop a data management framework.
An experimental study was first conducted to develop a data bank used for evaluation and improvement.
Furthermore, we develop a data aided (expectation maximization based) estimator incorporating frequency correlation information.
Here, time measurements from an array of different length pendulums are used to develop a data set.
We develop a data visualization framework, called BiFold, for exploratory analysis of bipartite datasets that describe binary relationships between groups of objects.
The algorithm is incorporated with user-friendly graphical interfaces (GUIs) to develop a data analysis tool, the USDA IPMP-Global Fit.
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To improve the usability and feasibility of the LCFSS for decision making, we develop a data-adaptive development model, data compression model, three-parameter model for coordinate registration, and speech processing model.
Over twelve months Aimia worked with the charity to develop a data-capture app as part of a project that included the introduction of tablets and creating a new tool for analysing data.
We then develop a data-driven framework for a fully unsupervised extraction of such representations.
In this work we develop a data-driven, physics-informed Bayesian framework for quantifying model-form uncertainties in RANS simulations.
In order to develop a data-driven in-car recognition system, we develop an effective algorithm for adapting the regression parameters to different driving conditions.
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CEO of Professional Science Editing for Scientists @ prosciediting.com