Titlebook: Seelsorge im Islam; Theorie und Praxis i Cemil Şahinöz Book 2018 Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature 2018 Isla

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o detect and classify the cancer tumor precisely. Mammography is considered as a standout amongst the most conclusive and dependable method for proper identification and classification of the breast cancer. Here, in this paper we are proposing a system based on machine learning for classification of

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Cemil Şahinözless technology has emerged as a prime medium in not only monitoring and coordinating various processes effectively in this domain but also ensuring real time data delivery in a precise and reliable way. The electronics miniaturization and information proliferation in healthcare for energy retention

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Cemil Şahinözhealth. In order to keep track of security of e-health paradigm, the chapter conceives a bio-inspired model comprising the collective intelligence of social insects e.g. ant colony. Ant colony optimization is a computationally intelligent meta-heuristics, which takes care-off the different random an

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Cemil Şahinözains, including mobile healthcare. In this chapter a novel training/testing process for building/testing a classification model for unusual human activities (UHA) using ensembles of Neural Networks running on NVIDIA GPUs is proposed. Traditionally, UHA is done by a classifier that learns what activi

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Cemil Şahinöztowards the majority class while handling a class imbalance problem. Several methods have been used to handle the class imbalance problems. These methods are based on three main approaches which are data level, algorithmic, and ensemble. Weighted Kernel-based Synthetic Minority Oversampling Techniqu

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asks. However, with new data collecting and storage technologies, the amount of gathered data increases everyday making the analysis of it a more and more complex task. One of the main forms of storing data is plain unstructured text and one of the most common ways of analyzing this kind of data is