Titlebook: Advances in Artificial Systems for Logistics Engineering; Zhengbing Hu,Qingying Zhang,Matthew He Conference proceedings 2022 The Editor(s)

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Nato Security through Science Series B: topic. 8 models based on SGTM neural structures were developed to study the average weekly data, both reduced and not reduced to the range from 0 to 1. In the most accurate model that implemented a short-term forecast of laboratory-confirmed cases of Covid in Ukraine, the root square error was 5.55%.

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SPEAR3 SYNCHROTRON LIGHT SOURCE methods using predictive models. The method is chosen because the membrane changes its properties over time and can provide better control of the process over a long period of time. The systems of automatic control of a non-stationary dynamic object based on the MPC controller and the PID controller with fuzzy logic are compared.

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Broken and Forfeited Bonds to the Landl processing, embedded programming, and machine learning makes it possible to implement the approaches presented in this article..The MIT-BIH Arrhythmia Database dataset is taken as a basis. Attention is also paid to comparing the calculation results of the developed method with other existing solutions.

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Sylvie Méron-Minuth,Christian Minuth agricultural sector. The state plays an important role in the digitalization process, as it is the main driver of this process and the introduction of a two-tier digital transformation can significantly accelerate the digitalization of the agricultural sector.

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https://doi.org/10.1007/978-3-658-44177-7 invasive weed algorithm), so that the algorithm can converge to the optimal solution faster and avoid falling into the local optimal, Finally, the integer programming is used to solve the problem. Through the example research, it is found that the effect of this method is very good, which is of great significance to solve this series of problems.

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