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In this paper, we present a prediction model for the performance of a reconfigurable network, based on a single full-system simulation and a much shorter, per parameter set post-processing phase.
Moreover, we present a prediction web service that showcases our approach and provides rationales for predictions.
In [9], the authors present a prediction method used to compensate for CSI delay.
Deriving a z-score, the authors present a prediction of which papers will be highly cited in the future.
RESULTS: In this paper, we present a prediction method for time-to-event traits using genome-wide single-nucleotide polymorphisms (SNPs).
We also present a prediction analytical model for performance which is the main focus of the research presented in this paper.
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We present a prediction-based, cost-efficient Virtual Machine (VM) provisioning and admission control approach for multi-tier web applications.
Over 60%% of the test chemical shifts were predicted within 0.2 ppm, while only 5%% still presented a prediction error of more than 1 ppm.
This paper presents a prediction for the dynamic matrix-dominated failure behavior of a carbon fiber reinforced polymer (CFRP) under impact loading, by using hierarchical multi-scale analysis.
This paper presents a prediction of a giant magneto-impedance (GMI) effect on Co-based amorphous ribbons using an artificial neural network (ANN) approach based on a self-organizing feature map (SOFM).
A few years ago, our group presented a prediction rule for young children at risk for asthma in general practice.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com