Titlebook: Advances in Computational Collective Intelligence; 16th International C Ngoc-Than Nguyen,Bogdan Franczyk,Adrianna Kozierki Conference proce

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https://doi.org/10.1007/978-3-642-92135-3mers compared to retaining existing ones. To effectively guide anti-churn initiatives, it becomes crucial to point profitable clients with the highest likelihood of churning. However, the data utilized for identifying potential churners often carries inherent imprecision. In this study, we use a rou

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Grundlagen des Beton- und Eisenbetonbauesty and sensitivity, the preferred diagnosis technique is the analysis of histological images with immunohistochemical staining, a process in which certain stained antibodies bind to antigens of the biological element of interest. This analysis is a time consuming task, which is currently done by an

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Das Zusammenwirken von Beton und Eisennents lead to creation of the final model including data acquisition, image labeling, data preprocessing, model training, testing and key performance indicators computation. In general these tasks require significant hardware resources from both storage and computational power points of view. In thi