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The response surface and the neural network methodologies are two approaches that are commonly used in reliability analysis of geotechnical problems with implicit performance functions, to deal with the complexity of probabilistic analyses.
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Among these, DNA-based methodologies are one the most promising approaches since they provide very precise tools, and due to their robustness, they can be applied to all the different life stages of marine species.
Clearly, experimental design and statistical methodology are two important considerations for evaluating this diverse set of results.
Despite similar methodology, there are two major differences that are worth discussing, namely the choice of values and the model applied.
Scheduling methods or risk management methodologies are just two examples.
Spaced-repetition and test-enhanced learning are two methodologies that boost knowledge retention.
There are two main methodologies to obtain the atrial signal.
These capture methodologies are available in two forms, either in solid- or in liquid-phase.
These two QPE methodologies are evaluated extensively using four precipitation events that are characterized by different meteorological features.
In general, these methodologies are composed from three main steps as feature detection, feature matching, and transformation.
Two methodologies are proposed to mitigate this source.
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