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Titlebook: Information Technologies and Intelligent Decision Making Systems; Second International Arthur Gibadullin Conference proceedings 2023 The Ed

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Detection of Video Image Modification Using a Classifier Based on Adaptive Resonance Theory,ror level analysis algorithm and the formation of compression noise histograms, the construction of concatenated noise vectors, and data classification. As a noise histogram classifier, it is proposed to use artificial neural networks of adaptive resonance theory with a hierarchical memory structure
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,Optimization with Quantum Algorithm that is Based on Grover’s Method, that are possible at the same time in solving global optimization problems by quantum algorithm and the methods of identifying the correct result. Searching for a solution to a global optimization task is typical for a systematic analysis. Adoption of optimal solutions and management of complex sys
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Evaluation of the Efficiency of Fault Tolerance Algorithms for Distributed Peer-To-Peer Worker Procoad (worker processes) is carried out. Worker processes coordinate their work through key-value stores. All worker processes are peer-to-peer, they can “negotiate” among themselves, and do not have a leader who coordinates the work of the others. During the experiment, various network destabilizing
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Using Ensemble Machine Learning Methods for Regional Forecasting of Geocryological Manifestations (esses in the Bolshezemelskaya tundra. Open georeferenced data were used: the Arctic Circumpolar Distribution and Soil Carbon of Thermokarst Landscapes project of the Oak Ridge National Laboratory; bioclimatic current and predicted variables of the WorldClim database, digital elevation model. The GIS
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