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With the classification concept, the response speed is significantly improved.
Each layer is composed of classification nodes, with each node identifying one classification concept.
For this, the habitat classification concept, compiled in the "German Red Data Book on endangered habitats", was used [34, 37] (Table 1).
Experience representation was done using a Group Technology classification concept that helps assign a primary-key for a Case Based Teaching underlying system.
The use of the habitat classification concept compiled in the German Red Data Book on endangered habitats [34] ensures the compatibility with other monitoring approaches, nature conservation management, and prospectively also pesticide registration.
In summary, real-time PCR assays based on a hierarchical classification concept, as exemplified in this work, are flexible typing tools for phylogenetic and geographical resolution of Francisella.
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Initial attempts to apply European and American classification concepts to Australia were not particularly satisfactory, because of the peculiarities of the continent's vegetation and environment.
The comparative plots illustrate that the classification concept-based models show a better performance than those based on logistic regression.
To classify these techniques, we derive a taxonomy of glyph properties that is based on classification concepts established in information visualization.
Then, a novel soft radial basis cellular neural/nonlinear network (SRB-CNN) based concept is developed, validated and extensively benchmarked with a selection of the best representatives of the current related state-of-the-art classification concepts (namely the following: support vector machines with radial basis function, artificial neural network, naive Bayes, and decision trees).
Gene expression programming (GEP) as a gray-box modeling approach is used to develop different deterministic models in order to evaluate the occurrence of soil liquefaction in terms of liquefaction field performance indicator (LI) and factor of safety (Fs) in logistic regression and classification concepts.
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