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In this work, an artificial neural network approach is employed to determine implicit limit state functions for reliability evaluations in performance-based design and to optimally evaluate a set of design variables under specified performance criteria and corresponding desired reliability levels in design.
In this section, we empirically evaluate a set of realizations of the annotated tree structure.
Here we discuss and evaluate a set of encryption techniques, all of which are JPEG XR format compliant.
The models were used to evaluate a set of performance criteria across a 60-year (1952 to 2011) simulation period.
To identify the best algorithm for prediction model computation with the existing data, we evaluate a set of regression algorithms.
The proposed performance measurement system uses data envelopment analysis (DEA) to evaluate a set of peer entities called decision-making units (DMUs).
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In efficient flooding schemes, only a subset of receiving nodes will rebroadcast a packet after evaluating a set of conditions.
We addressed this problem by evaluating a set of pattern classification algorithms on simulated and experimental block-design fMRI data.
We described and evaluated a set of tools, implemented in the Python module mamoth, for working with state-rich Markov chain models in population genetics.
WHO has published two series of diagnostic evaluations [ 58, 63] and we have evaluated a set of MRDTs available on the European market [ 36, 37, 51, 52].
AHP aims at evaluating a set of criteria elements and subcriteria elements use pair-wise comparisons.
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