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Nedbank had a strong incentive to develop a new data analytics tool for competitive differentiation.
First, we develop a new data representation structure to capture the experimental data systematically.
To overcome these drawbacks, we develop a new data acquisition scheme as well as an efficient personal authentication algorithm.
Here we develop a new data set of more than 1,700 published simulations to evaluate yield impacts of climate change and adaptation.
We develop a new data assimilation algorithm by employing a heuristic optimization approach named very fast simulated re-annealing (VFSA), which is capable of minimizing the cost function without using the adjoint model.
In this paper, we develop a new data offloading algorithm based on the game model.
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In fact, we develop a new data-driven FDI scheme, via analytical redundancy.
In this paper we develop a new data-driven method to calculate these parameters using production and completion information.
We develop a new data-driven closure approximation method to compute the statistical properties of quantities of interest in high-dimensional stochastic dynamical systems.
The aim of this study was to develop a new data-mining model to predict axillary lymph node (AxLN) metastasis in primary breast cancer.
The commission is developing a new data protection regulation; it should act on excessive state surveillance.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com