Titlebook: Novel Applications of Intelligent Systems; Mincho Hadjiski,Nikola Kasabov,Vladimir Jotsov Book 2016 Springer International Publishing Swit

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,C?×?K-Nearest Neighbor Classification with Ordered Weighted Averaging Distance,class, where the number of classes is ., .-nearest neighbors are taken. The distance between the new sample and its .-nearest set is determined based on the OWA operator. It is shown that by adjusting the weights of the OWA operator, it is possible to obtain the results of various clustering strateg

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Structure-Oriented Techniques for XML Document Partitioning,tural inhomogeneity, due either to uncaught differences in the overall logical structures of the available XML documents or to inappropriate choices of the targeted structural component. To overcome these limitations, two approaches to clustering XML documents by multiple heterogeneous structures ar

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Security Applications Using Puzzle and Other Intelligent Methods,sk factors to ATMs. Special attention is paid to applications of Puzzle method in ATMs. To make a more independently functioning ATM, the proposed methods should be applied to data/knowledge/metaknowledge elicitation, knowledge refinement, analysis of different logical connections aiming at informat

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Semiautomatic Telecontrol by Multi-link Manipulators Using Mobile Telecameras,hich kinematic schemes are differed from the kinematic schemes of manipulators. For the survey of working space the mobile television cameras are used. Optical axes of these cameras can change its spatial orientations during performance of operations. They can rotate around two mutually perpendicula

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Vision-Based Hybrid Map-Building and Robot Localization in Unstructured and Moderately Dynamic Envip-building and localization, which suits operating environments with unstructuredness and moderate dynamics. The solution-approach is vision-based and includes two phases. In the first phase, the map-building reduces the domain of extracted point features from local places through an information-the

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Acoustic and Device Feature Fusion for Load Recognition, due to growing energy demands within offices and residential spaces. It is essential to perform automatic appliance recognition and monitoring for optimal resource utilization. In this paper, we study the use of non-intrusive LM methods that rely on steady-state appliance signatures for classifying