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Titlebook: Leibniz: What Kind of Rationalist?; Marcelo Dascal (Prof) Book 2008 Springer Science+Business Media B.V. 2008 Epistemology.History of Math

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various pre-trained deep learning models in addition to augmenting the data to achieve the best performance. We observed that data augmentation increases the F1 score. After fine-tuning the QARiB model and augmenting the data we achieved the best F1 score of 0.49.
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Heinrich Schepershe second and third approaches scale better in terms of complexity than the first approach. However, the original penalty parameters in approach 2 (i.e. those suggested in the literature) do not work well for bigger instances. Taking different parameters makes this approach much better in performanc
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Ohad Nachtomyady has a georeferenced tree cadastre of around 15,000 solitary trees in the city area, which is also used to generate helpful information. All mentioned data is then joined and visualised in an interactive web application allowing arborists and foresters to generate individual and flexible evaluati
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ady has a georeferenced tree cadastre of around 15,000 solitary trees in the city area, which is also used to generate helpful information. All mentioned data is then joined and visualised in an interactive web application allowing arborists and foresters to generate individual and flexible evaluati
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Philip Beeleyweight defense solution which identifies sinkhole attack in the IoT ecosystem. The defense method is executed with the help of . on the .. The experimental outcomes show that the solution is lightweight and can identify the sinkhole attack with a noteworthy performance, and provides 95.86% . and 94.
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Laurence Bouquiauxl’s cluster best matching the diagnostic pattern of a considered patient is sought. Fuzzy sets are employed to cope with possible confusion in decision making, which may occur when large data sets cause clusters to overlap. The degrees of membership to these fuzzy sets are expressed by the Mahalanob
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Bernardino Orio de Migueltrast, recent related work objects to the inferior performance of whitelisting, since former experiments for both paradigms happened under incomparable conditions, and demands their remake under fair circumstances. This scholarly piece refutes the inferiority of whitelisting by exhibiting the result
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