Titlebook: Vertrauen in Unternehmensnetzwerken; Eine interdisziplinä Erich Klaus Book 2002 Deutscher Universitäts-Verlag GmbH, Wiesbaden 2002 Institut

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rence to the online courses using machine learning algorithm. The proposed system has attained improved accuracy than the existing model. From this study, the specific aspects are obtained using both unsupervised and semi-supervised LDA algorithms. Students’ satisfaction with specific aspects of the

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Erich Klaus vessel. The performance of these three algorithms is compared against the available ground truth average diameter for both CLRIS and VDIS. It was found that the estimated diameter is closer to the available ground truth using morphological-based and center line-based, respectively. However, the est

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Erich Klaushe retinal vasculatures can signify a spectrum of diseases. In retinal fundus images, providing an automatically estimated diameter of blood vessels may aid clinicians in diagnosing diseases like hypertensive retinopathy, which can even lead to blindness. Therefore, automated diagnosis of these dise