Titlebook: Intelligent Decision Technologies; Proceedings of the 1 Ireneusz Czarnowski,Robert J. Howlett,Lakhmi C. Ja Conference proceedings 2021 The

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Using Families of Extremal Quasi-Orthogonal Matrices in Communication Systemse origin of the names of quasi-orthogonal matrix families and the connection of their orders with known numerical sequences. The structured matrices, searching for which is of the greatest practical interest, are distinguished: symmetric, persymmetric, cyclic, structured according to Walsh. There ar

nautical

Variable Selection for Correlated High-Dimensional Data with Infrequent Categorical Variables: Based for industrial application. The method is a combination of sparse sample regression (SSR), a latest type of just-in-time modeling (JIT), and T. and Q statistics, which are typical anomaly detection methods. JIT is based on locally weighted regression to cope with changes in process characteristics

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Verification of the Compromise Effect’s Suitability Based on Product Features of Automobileshoose the middle grade. However, in existing research, there are few examples that focus on the product features of high value-added and low-priced products within the same manufacturer‘s brand, as conditions for the appearance of compromise effects. This study examined web quotations in the Japanes

RENAL

Application of Granular Computing-Based Pre-processing in the Labelling of Phonemes(AVSR). A viseme is the smallest recognizable unit correlated with a particular realization of a given phoneme. Labelling of phonemes and assigning them to viseme classes is a challenging problem in AVSR. In this paper, we present preliminary results of applying rough sets in pre-processing video fr

occult

Application of Implicit Grid-Characteristic Methods for Modeling Wave Processes in Linear Elastic Me We consider how grid-characteristic method builds and adapts boundary conditions to implicit method. Obtained method is tested in one- and two-dimensional model problems. We investigate the grid convergence and stability of the derived algorithm for Courant numbers greater than 1 under the conditio

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excrete

Methods of Interpretation of CT Images with COVID-19 for the Formation of Feature Atlas and Assessmeas made to identify possible regularities of the CT pattern and diagnose the possible development of fibrosis in the early stages. To improve the accuracy of diagnosis and prognosis of the formation and development of fibrosis, we propose the creation of the Feature Atlas of CT images with a specifi

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APRON