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In this study, we developed a modeling framework using a machine learning approach to predict hydrologic ratios for watersheds located in contiguous United States (CONUS) by utilizing a set of climate, soil, vegetation, and topographic variables.

In this paper, we introduce a parallelized version of a novel, non-iterative domain decomposition algorithm, called Characteristic Basis Finite Element Method (CBFEM-MPI), for efficient solution of large-scale electromagnetic scattering problems, by utilizing a set of specially defined characteristic basis functions (CBFs).

In a quest to increase the performance of run-time analysis for large sets of logged data, we present an approach that allows for the real time reduction of one or more event streams by utilizing a set of filtering criteria.

In this study, we explored the multiple-image SR technique on a mobile device by utilizing a set (N=10) of observed LR images, that denote the same scene.

Process data will be collected by utilizing a set of process indicators in order to objectively assess the impact of the implementation of the program [ 43].

EGFR-type receptor tyrosine kinases achieve a broad spectrum of cellular responses by utilizing a set of structurally conserved building blocks.

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Developers will need to build applications that can be delivered seamlessly across a loosely coupled device mesh by utilizing a common set of tools, languages, runtimes and frameworks – a common toolset that spans from the service in the cloud to enterprise server, and from the PC to the browser to the phone.

It can be 'optimized' in a supervised manner by utilizing a training set where we have labeled samples.

A further reduction in computation time can be obtained by utilizing a minimal set of isotopomer balances described by Antoniewicz et al. (2007) [ 3].

We extend upon Kravdal's analysis by utilizing a much richer set of patient characteristics, as well as considering alternative outcome measures.

We propose a novel approach that alleviates drawbacks of the existing methods by using a recent dataset and improved protocol to annotate progress along the crystallization process, by predicting the success of the entire process and steps which result in the failed attempts, and by utilizing a compact and comprehensive set of sequence-derived inputs to generate accurate predictions.

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