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Titlebook: Intelligent Systems in Cybernetics and Automation Control Theory; Radek Silhavy,Petr Silhavy,Zdenka Prokopova Conference proceedings 2019

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楼主: negation
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Significant Simulation Parameters for RESTART/LRE Method in Teletraffic Systems of Ultra Broadband simulations opportunities represent a chance to reduce the digital divide and to ensure the Ultra Broadband Convergence Networks with minimum cost of time and financials. The simulation of teletraffic models allows the modeling of resource management issues, admission of system users with different parameters.
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Development of Sectoral Intellectualized Expert Systems and Decision Making Support Systems in Cybeso article presents the results of studies of the knowledge management system of existing local expert systems and decision making support systems for information protection. Algorithms for the distribution of requests between similar systems are specified.
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2194-5357 putational Methods in Systems and Software 2018 (CoMeSySo 2018), a conference that broke down traditional barriers by being held online. The goal of the event was to provide an international forum for discussing the latest high-quality research results. .978-3-030-00183-4978-3-030-00184-1Series ISSN 2194-5357 Series E-ISSN 2194-5365
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2194-5357 thods in Systems and Software 2018 (CoMeSySo 2018) conferenc.This book presents real-world problems and pioneering research that reflect novel approaches to cybernetics, algorithms and software engineering in the context of intelligent systems. It gathers the peer-reviewed proceedings of the 2nd Com
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Indirect Optimal Approach Applied to H1N1 Spread Through Moroccan Regions,t boundary value problem, with separated boundary conditions. It’s resolved by an iterative method related to Forward-Backward Sweep Method (FBSM). The effectiveness of the proposed approach is examined via numerous numerical illustrations.
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A Novel Template - Based Data Structurization Scheme for Normalizing and Analyzing Medical Data,cts it to a novel data structurization scheme. The system also contributes in obtaining knowledge related to criticality of disease associated with the dataset. The study outcome shows that proposed system offers reduced response time for both data structurization and knowledge discovery.
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