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Titlebook: Mathematical Modeling and Simulation of Systems; Selected Papers of 1 Volodymyr Kazymyr,Anatoliy Morozov,Mark Zheleznyak Conference proceed

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31#
發(fā)表于 2025-3-27 00:42:40 | 只看該作者
The Fake News Recognition Method Based on Na?ve Bayes with Improved TF-IDF Algorithmage Processing (NLP). By integrating an enhanced TF-IDF (Term Frequency-Inverse Document Frequency) algorithm with the Na?ve Bayes classifier. The proposed method aims to devise a method and tools for computer analysis of large volumes of dynamically changing textual data on the Internet and prompt
32#
發(fā)表于 2025-3-27 04:24:50 | 只看該作者
33#
發(fā)表于 2025-3-27 08:22:50 | 只看該作者
34#
發(fā)表于 2025-3-27 12:12:33 | 只看該作者
35#
發(fā)表于 2025-3-27 17:32:57 | 只看該作者
Students Classification Basing the Numerical Model to Compile Playful Teams on the Unispher? Platforwork of the groups’ members. Classification is carried out according to interest and learning ability, behavioral characteristics, character traits and social characteristics. The students are presented by a vector of their features numerical assessments. Approaches are proposed based on hierarchica
36#
發(fā)表于 2025-3-27 20:52:09 | 只看該作者
Conference proceedings 2024tunity to familiarize themselves with the latest research in a variety of solutions proposed by leading scientists and to determine promising directions for solving complex scientific and practical tasks. Chapters of this book contain papers presented at the 18th MODS International Conference, November 13–15, 2023, Chernihiv, Ukraine..
37#
發(fā)表于 2025-3-27 22:12:31 | 只看該作者
Model Synthesis Algorithms for a Monitoring Software Agental methods for solution time-series forecasting task. The result of the study is a set of model synthesis algorithms that can be used in monitoring software agents based on the analysis of obtained error metrics for each day of the forecasting horizon.
38#
發(fā)表于 2025-3-28 05:05:34 | 只看該作者
Experimental Studies of New Algorithms with Optimism and Exponential Averaging for Finding Saddle Poc optimistic gradient method for finding saddle points or not and to provide motivation to the authors to continue working on proving the convergence of these algorithms. As a test problem, the training of GANs was chosen, previously represented as the stochastic saddle point problem.
39#
發(fā)表于 2025-3-28 06:44:45 | 只看該作者
40#
發(fā)表于 2025-3-28 12:45:35 | 只看該作者
Conference proceedings 2024on mathematical modeling and simulation of processes in various areas: in ecology and the environment, production and energy, information technology, samples of special purpose equipment, and cyber-physical systems...The outcomes presented in the book will be useful to specialists involved in the mo
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