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Titlebook: Information Technology, Systems Research, and Computational Physics; Piotr Kulczycki,Janusz Kacprzyk,Rafal Wisniewski Conference proceedin

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Graph Cutting in Image Processing Handling with Biological Data Analysisem for obtaining segmentation of biological cells. We introduce completely new algorithm for analysis of the resulting data and sorting them into three main categories, which correspond to the certain type of biological death of cells, based on the mathematical properties of segmented elements.
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Optimizing Clustering with Cuttlefish Algorithmts from the UCI Machine Learning Repository were used. Furthermore, the well-known and commonly utilized k-means procedure was applied to the same data sets - to obtain a broader, independent comparison. The quality of generated results were assessed via the use of the Rand Index.
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A Hybrid Cascade Neural Network with Ensembles of Extended Neo-Fuzzy Neurons and Its Deep Learningry data streams in an attempt to provide online training of multiple parametric variables. A new training criterion is examined which suits for handling nonstationary objects. Added to everything else, there is always an occasion to set up (increase) an inference order and a quantity of membership relations inside the extended neo-fuzzy neuron.
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Efficient Astronomical Data Condensation Using Fast Nearest Neighbors Searchoperties of the proposed approach are preliminary studied on astronomical datasets related to the GAIA mission. It is concluded that introduced technique might serve as a scalable method of alleviating the problem of data sets size.
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Using Random Forest Classifier for Particle Identification in the ALICE Experiment we can create classifiers based on machine learning algorithms that are able to discriminate much more particles correctly while reducing traditional method’s error rates. More precisely, we see that by using a standard Random Forest method our approach can already surpass classical methods of cutting tracks.
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Hierarchical Fuzzy Decision Support Methodology for Packaging System Designhe packaging decision is suggested, based on logistics expert opinions, in order to support the decision making process of choosing the right packaging system. Two real life examples are also given, one in the field of customer packaging and one in industrial packaging.
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