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During the past decades much progress has been made in the development of computer based methods for parameter and predictive uncertainty estimation of hydrologic models.
For the past 20 years, the development of computer based methods for the identification of optimal designs have been based on a single model, introduced by Walters and Sheble (1993) [1].
Computer based methods of analysis have the potential to provide widely accessible EEG interpretation.
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A digital computer based method for generating the sensitivities of the eigenvalues of a linear, time invariant, lumped parameter dynamic system to perturbations in its design parameters is described.
Recently, a new computer based method for the analysis of reinforced soil walls which takes into account the interaction between the facing and the soil reinforcement layers was presented [Klar A and Sas T. Rational approach for the analysis of segmental reinforced soil walls based on kinematic constraints. Geotextiles and Geomembranes 2009;27 332-340].
A simple paper and pen method was tested as well as a computer based method.
The results from the last experiment using even fewer participants and a new computer based method were less robust and needs to be investigated further.
For the computer based method the variability was higher but the results still significant between the two groups of dynamic versus static signs.
In contrast to alternative computer vision based methods, we boost performance by exploiting the embedded and dynamic nature of a mobile robot.
A computer vision based method to automatically measure springback is also proposed.
Given current environmental risk assessment strategies, genotoxicity risk assessment of these drugs and their TPs would have to include a combination of appropriate analytical methods, genotoxicity bioassays, (bio) degradability and computer based prediction methods such as QSAR studies.
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