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In this paper, we compare survival analysis and neural networks in terms of modelling and results.
This involved a dedicated conceptual formation, thermo-fluid analyses, and computer modelling and results discussion.
This setup essentially closes the gap between forward analysis (i.e. tsunami prediction) and inverse analysis (i.e. source modelling), and results in consistent reproduction of the results presented by the original study.
Tensile (pull-out) tests are performed to load the core triangles and filler in tension and the strength and failure mode are compared both with the FE modelling and results from tests on the existing T-joint design.
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The modelling and forecasting results are shown in Fig. 5.
The modelling and forecasting results are illustrated in Fig. 7.
11671_2012_1474_MOESM1_ESM.doc Additional file 1: Simulation model and results.
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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.

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