Výsledky vyhledávání

Application of Inductive Bayesian Hierarchical Clustering Algorithm to Identify Brain Tumors

Autor: Serge Olszewski, Volodymyr Lytvynenko, Ulzhalgas Zhunissova, Mariia Voronenko, Iryna Lurie, Michael Sherstiuk, Waldemar Woicik, Oleg Boskin

Publikováno v: Advances in Intelligent Systems and Computing ISBN: 9783030542146
ISDMCI

The article presents the results of research concerning development of inductive algorithm for hierarchical Bayesian clustering of gene expression of patients with two types of brain tumors and healthy individuals. The study carried out comparative s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::78e915d4f56952ed957efcb063dbe1b8
https://doi.org/10.1007/978-3-030-54215-3_36

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Detecting Items with the Biggest Weight Based on Neural Network and Machine Learning Methods

Autor: Mykhailo Luchkevych, Victoria Vysotska, Svitlana Vyshemyrska, Iryna Lurie, Vitaliy Danylyk, Vasyl Lytvyn

Publikováno v: Communications in Computer and Information Science ISBN: 9783030616557
DSMP

The article considers the development of a program for predicting areas on the design of the graphical interface, where users’ attention will be greatest. Current methods of improving graphic design in accordance with UX and software for getting UX

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::821c5b5b9615a8ff90e2604855e1f138
https://doi.org/10.1007/978-3-030-61656-4_26

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Forest Cover Type Classification Based on Environment Characteristics and Machine Learning Technology

Autor: Vasyl Kiyko, Vasyl Lytvyn, Iryna Lurie, Lyubomyr Chyrun, Mykhailo Hrubel, Svitlana Vyshemyrska

Publikováno v: Communications in Computer and Information Science ISBN: 9783030616557
DSMP

Today, one of lot global problems is forest deforestation and monitoring. The article describes the system creation for forests control and monitoring. This work aims is to develop a model for the forest cover type determination based on environmenta

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::64644fa8b8bd1fec62328fc33c08cd9f
https://doi.org/10.1007/978-3-030-61656-4_34

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Using Bayesian Methods for Predicting the Development of Children Autism

Autor: Iryna Lurie, Ulzhalgas Zhunissova, Roman Baranenko, Mariia Voronenko, Oleg Boskin, Volodymyr Lytvynenko

Publikováno v: 2019 IEEE International Conference on Advanced Trends in Information Theory (ATIT).

In this paper, we propose a methodology for using static Bayesian networks (BN) in the tasks of predicting the development of the children’s disease “autism” aged 4 to 11 years. Methods of constructing the structure of a static BN, parametric l

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a467526e497bfa6e2d10ade0cebd49d0
https://doi.org/10.1109/atit49449.2019.9030523

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Hybrid Approach for Gene Regulatory Networks Reconstruction by a System of Ordinary Differential Equations

Autor: Muchamed Ali Taif, A.A. Fefelov, Iryna Lurie, Volodymyr I. Lytvynenko

Publikováno v: Upravlâûŝie sistemy i mašiny. :63-72

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::698fde79fff1f69e62d2205b8e8ebb9b
https://doi.org/10.15407/usim.2017.03.063

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Dynamic Bayesian Networks in the Problem of Localizing the Narcotic Substances Distribution

Autor: Jan Krejci, Andrey Fefelov, Mariia Voronenko, Volodymyr Lytvynenko, Nataliia Savina, Petro Vorona, Iryna Lurie, Ivan Lopushynskyi

Publikováno v: Advances in Intelligent Systems and Computing IV ISBN: 9783030336943

This paper proposed a methodology for the use of static and dynamic Bayesian networks (BN) in the problems of localizing the distribution of narcotic substances. Methods for constructing the BN structure, their parametric training, validation, sensit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::174a5c592c8d01ebd695b9aa9a3b155a
https://doi.org/10.1007/978-3-030-33695-0_29

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Hybrid Methods of GMDH-Neural Networks Synthesis and Training for Solving Problems of Time Series Forecasting

Autor: Mariia Voronenko, Iryna Lurie, Saule Smailova, Nataliia Savina, Andrey Fefelov, Waldemar Wójcik, Oleg Boskin, Volodymyr Lytvynenko

Publikováno v: Advances in Intelligent Systems and Computing ISBN: 9783030264734
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In this paper, for solving the problem of forecasting non-stationary time series, hybrid learning methods for GMDH-neural networks are proposed. Training methods combine artificial immune systems with members of the evolutionary algorithm family, in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::638fde4b803b9c688edc407629ae637b
https://doi.org/10.1007/978-3-030-26474-1_36

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Some Features of the Numerical Deconvolution of Mixed Molecular Spectra

Autor: Iryna Lurie, Andrzej Smolarz, Mariia Voronenko, Serge Olszewski, Nataliia Savina, Volodymyr Lytvynenko, Svitlana Vyshemyrska, Paweł Komada, Anton Omelchuk

Publikováno v: Advances in Intelligent Systems and Computing ISBN: 9783030264734
ISDMCI

The direct method features of finding the weight coefficients of the mixed molecular spectrum components on the basis of their reference samples are considered in this paper. It has been established that the presence of additive noise in the output m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6bcdfb307d898511b7b417bcc0ce9309
https://doi.org/10.1007/978-3-030-26474-1_2

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Protein Tertiary Structure Prediction with Hybrid Clonal Selection and Differential Evolution Algorithms

Autor: Iryna Fefelova, Iryna Lurie, Nataliia Savina, Andrey Fefelov, Róża Dzierżak, Volodymyr Lytvynenko, Svitlana Vyshemyrska, Mariia Voronenko

Publikováno v: Advances in Intelligent Systems and Computing ISBN: 9783030264734
ISDMCI

The paper deals with the problem of protein tertiary structure prediction based on its primary sequence. From the point of view of the optimization problem, the problem of protein folding is reduced to the search for confirmation with minimal energy.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5b7eac2d177fced79e4fab2b14fc86d5
https://doi.org/10.1007/978-3-030-26474-1_47

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Mutation schemes of the hybrid clonal selection algorithm for the reconstruction of gene regulatory networks

Autor: I.M. Melnychuk, S. Kalimoldayeva, Waldemar Wójcik, Iryna Lurie, Andrey Fefelov, Volodymyr Lytvynenko, Volodymyr Osypenko

Publikováno v: Information Technology in Medical Diagnostics II ISBN: 9780429057618

Reconstruction of gene regulatory networks is one of the most common complex biology problems, the solution of which is principally for the creation of new drugs. The task of reconstruction of the gene regulatory network presented in the form of the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::42aba17deab78676d88f2fd86f232955
https://doi.org/10.1201/9780429057618-29

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