Titlebook: Cyber-Physical Systems: Intelligent Models and Algorithms; Alla G. Kravets,Alexander A. Bolshakov,Maxim Shche Book 2022 The Editor(s) (if

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Prüfungstraining zum Bankfachwirtighted average for the final calculations. The results of the study of the algorithm, showing the effectiveness of its application for the synthesis of intelligent information systems for various purposes, are presented.

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Book 2022ssing. The target audience of the book are practitioners, enterprises representatives, scientists, PhD and Master students who perform scientific research or applications of intelligent models and algorithms in cyber-physical systems for various domains.

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Wolfgang Grundmann,Rudolf Rathneretwork-based biocomputation (NBC) i.e. computing with biological molecules as agents that are driven by molecular motors in microfluidic networks, is presented as an alternative approach to computing, data processing, and information technology.

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Machine Learning of Diagnostic Neural Network for Railway Track Monitoringmple and the test sample using the SMOTE image synthesis methodology and to apply affine transformations to existing rail fastener images. The quality assessment of the datasets thus obtained was carried out using dimensionality reduction methods. The results of the experimental studies are presented.

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Biocomputation Using Molecular Agents Moving in Microfluidic Channel Networks: An Alternative Platfold avoid these problems. However, the computing power and cooling requirements of conventional computers increase exponentially with the size of the problem, so that the technological limits for solving these problems will soon be reached. The EU project Bio4Comp aims to develop concepts for a bio-c

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Artificial Immune Systems—Models and Applications presented: computer security, anomaly and malfunction detection, numerical and combinatorial optimization, pattern recognition. An algorithm for clonal selection is presented, a conclusion is made about its closeness to the method of evolutionary strategies of evolutionary computations with a more