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Three different ratios of notch depth to specimen width (a/w) 0.3, 0.4, and 0.5 were implemented in this study.
To evaluate the usability of empirical site factors on the prediction of peak ground motions, residual analyses for the earthquakes considered were implemented in this study.
Two different approaches were implemented in this study.
Two previously validated and widely used scales were implemented in this study.
Another strength is that a lot of the techniques that have been demonstrated to improve response rates were implemented in this study.
However, as the models were implemented in this study, they do not use any prior information, in contrast to BayesB of Meuwissen et al. [ 1].
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An empirical investigation of the proposed system is implemented in this study.
A new probabilistic model for sustainable rainfall drainage, storage and re-use systems was implemented in this study.
Artificial neural networks (ANN) was implemented in this study to predict the coating structural attribute (porosity, hardness).
A micromechanical hybrid finite element approach is implemented in this study, in order to evaluate the stress transfer characteristics in graphene-based nanocomposites.
A damage detection algorithm based on Artificial Neural Network (ANN) was implemented in this study using the statistical properties of structural dynamic responses as input for the ANN.
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