Titlebook: Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making; 2022 International S Sergii Babichev,Volodymyr Lytvynen

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Application of?the?Theory of?Functional Stability in?the?Problems of?Covering Territories by?Sensoryon of energy consumption of the network with additional sensors by adjusting the radii of coverage of additional sensors depending on the operating condition of the main sensors is presented. The results of computational experiments confirm the effectiveness of the proposed approaches.

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Adaptive Decision-Making Strategies in?the?Game with?Environment parametric identification of the environment using Q-learning and defining a mixed strategy on the Boltzmann distribution. With proper parameter selection, the method provides close to 1 order of asymptotic convergence, the limit value for a given class of recurrent methods.

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Methodology for?Solving Forecasting Problems Based on?Machine Learning Methods the effectiveness of machine learning models and their improvement. The efficiency of predictive models of various types is analyzed. Various quality indicators were used to assess the quality of forecasts. Boosting is the best predictive model. The results obtained indicate the good quality of the predicted values using the proposed methodology.

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Igor Liakh,Sergii Babichev,Bohdan Durnyak,Iryna Gadoo de Assis wrote a highly critical review in ., which generated such debate that two weeks later he published a defense of his reaction in the same journal. Much of the initial controversy revolved around the eroticism of the novel. Its graphic representations of illicit pleasure seemed gratuitous t

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Vasiliy Nadraga,Anatolii Balanda,Mariana Polodiuk,Yuliia Bobyr,Tetiana Kochuratudy carried out for a doctoral thesis that explored the motivations, challenges and benefits of transnational education in Dubai. Dubai has a unique demographical composition whereby 90% of the population is made up of expatriates. In order to serve the educational needs of this large expatriate po