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Titlebook: 12th World Conference “Intelligent System for Industrial Automation” (WCIS-2022); Volume 1 R. A. Aliev,Nodirbek Rustambekovich Yusupbekov,S

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Interpretable Neural Network Models in School Teacher Success Prediction,a single hill of height H and length L. is studied in detail and shown to be determined by the upwind velocity profile, the magnitude of a characteristic Froude number and the dimensions of the hill. Let N(L.) be the buoyancy frequency upwind at a height L., and u. and U. be the upwind friction and
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E-payment Systems Security Solutions Using Facial Authentication Based on Artificial Neural Networkrface layer during neutral conditions were carefully investigated by Kader (1984, 1987) for a broad range of wave numbers which included wavelengths far beyond the large-scale limit of the inertial subrange. At the same time, some direct measurements of spatial correlation functions of the longitudi
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978-3-031-51520-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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https://doi.org/10.1007/978-3-663-02743-0e advances both on the software and the hardware sides, as well as the cross-fertilization of concepts and the amalgamation of information, communication and control technology driven approaches. In recent years, in an attempt to change the whole format of industrial automation, these developments h
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Die Vollendung der Prinzipien der Gleichheitiscussion along the dimensions of “support technologies” and “scenarios of potential industrial applications”. Careful observations of research communities and markets have provided insight into some of the key aspects of building and capitalizing on industrial metaverses.
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https://doi.org/10.1007/978-3-663-02745-4objects. The selection condition is the property of data invariance to the scales of their measurements. Invariance is achieved through the use of methods for splitting feature values into non-intersecting intervals. Splitting into intervals is used in data preprocessing, carried out in order to uni
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