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    Book and Conference Proceedings

    Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making

    2022 International Scientific Conference "Intellectual Systems of Decision-Making and Problems of Computational Intelligence”, Proceedings

    Sergii Babichev, Volodymyr Lytvynenko in Lecture Notes on Data Engineering and Communications Technologies (2023)

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    Chapter and Conference Paper

    Application of Convolutional Neural Network for Gene Expression Data Classification

    The results of research regarding the development of a gene expression data classification system based on a convolutional neural network are presented. Gene expression data of patients who were studied for lu...

    Lyudmyla Yasinska-Damri, Sergii Babichev in Lecture Notes in Data Engineering, Computa… (2023)

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    Chapter and Conference Paper

    Formation of Subsets of Co-expressed Gene Expression Profiles Based on Joint Use of Fuzzy Inference System, Statistical Criteria and Shannon Entropy

    The paper presents the results of the research regarding the application of a fuzzy logic inference system to form the co-expressed gene expression profiles based on the joint use of Shannon entropy and statis...

    Igor Liakh, Sergii Babichev, Bohdan Durnyak in Lecture Notes in Data Engineering, Computa… (2023)

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    Chapter and Conference Paper

    Current State of Methods, Models, and Information Technologies of Genes Expression Profiling Extraction: A Review

    An application of both the DNA microchips tests or RNA molecules sequencing experiments allows us to form the high-dimensional matrix of genes expressions, values of which are proportional to the number of the...

    Lyudmyla Yasinska-Damri, Ihor Liakh in Lecture Notes in Computational Intelligenc… (2022)

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    Chapter and Conference Paper

    A Model for Assessing the Rating of Higher Education School Academic Staff Members Based on the Fuzzy Inference System

    In this paper, we present the model of assessment of higher education school academic staff members rating based on the complex use of Harrington’s desirability function and a fuzzy inference system. Four main...

    Sergii Babichev, Aleksander Spivakovsky in Lecture Notes in Computational Intelligenc… (2022)

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    Chapter and Conference Paper

    Development of a Fuzzy Inference Model for the Management of a Marine Engine

    The paper presents the results of the research concerning development of a fuzzy inference system to determine the current state of marine engine based on criteria established by the manufacturer. The practica...

    Sergii Babichev, Liliya Strielkovskaya in Lecture Notes in Computational Intelligenc… (2021)

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    Chapter and Conference Paper

    An Analysis of Gene Regulatory Network Topology Using Results of DNA Microchip Experiments

    In this paper, we have presented the research results concerning analysis of gene regulatory network structure based on Cytoscape software tools using graph theory. The gene regulatory network reconstructed us...

    Sergii Babichev, Orest Khamula, Iryna Perova in Advances in Intelligent Systems and Comput… (2021)

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    Chapter and Conference Paper

    Technique of Gene Expression Profiles Selection Based on SOTA Clustering Algorithm Using Statistical Criteria and Shannon Entropy

    In this paper, we have presented a results of the research concerning selection of informative genes based on the complex use of both statistical criteria and Shannon entropy. The main objective of the researc...

    Sergii Babichev, Orest Khamula in Lecture Notes in Computational Intelligenc… (2021)

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    Chapter and Conference Paper

    Technique of Metals Strength Properties Diagnostics Based on the Complex Use of Fuzzy Inference System and Hybrid Neural Network

    The results of the research concerning development of the technique of metals strength properties diagnostics using combination of the methods of non-destructive control based on the complex use of fuzzy infer...

    Sergii Babichev, Bohdan Durnyak, Oleksandr Sharko in Data Stream Mining & Processing (2020)

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    Chapter and Conference Paper

    Soft Filtering of Acoustic Emission Signals Based on the Complex Use of Huang Transform and Wavelet Analysis

    The paper presents the results of the research concerning development of acoustic emission signals soft filtering model based on the complex use of Huang transform and wavelet analysis. The acoustic emission s...

    Sergii Babichev, Oleksandr Sharko in Lecture Notes in Computational Intelligenc… (2020)

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    Chapter and Conference Paper

    Comparison Analysis of Clustering Quality Criteria Using Inductive Methods of Objective Clustering

    In this paper, we present the results of the research concerning comparison analysis of both the internal and external clustering quality criteria for clustering various types of datasets using density-based D...

    Sergii Babichev, Aleksander Spivakovskiy, Jiří Škvor in Data Stream Mining & Processing (2020)

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    Chapter and Conference Paper

    A Model of Logical Inference and Membership Functions of Factors for the Printing Process Quality Formation

    Technological stages or separate procedures of the publishing and printing process involve relevant databases and a set of factors (criteria, parameters, requirements) to ensure their quality implementation. H...

    Vsevolod Senkivskyy, Iryna Pikh in Lecture Notes in Computational Intelligenc… (2020)

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    Chapter and Conference Paper

    An Evaluation of the Objective Clustering Inductive Technology Effectiveness Implemented Using Density-Based and Agglomerative Hierarchical Clustering Algorithms

    The paper presents the results of the research concerning comparison analysis of the efectiveness of OPTICS and DBSCAN density-based and agglonarative hierarchical clustering algorithms within the framework of...

    Sergii Babichev, Bohdan Durnyak, Iryna Pikh in Lecture Notes in Computational Intelligenc… (2020)

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    Chapter and Conference Paper

    A Fuzzy Model for Gene Expression Profiles Reducing Based on the Complex Use of Statistical Criteria and Shannon Entropy

    The paper presents the technology of gene expression profiles reducing based on the complex use of fuzzy logic methods, statistical criteria and Shannon entropy. Simulation of the reducing process has been pe...

    Sergii Babichev, Volodymyr Lytvynenko in Advances in Computer Science for Engineeri… (2019)

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    Chapter and Conference Paper

    Model of the Objective Clustering Inductive Technology of Gene Expression Profiles Based on SOTA and DBSCAN Clustering Algorithms

    The paper presents the hybrid model of the objective clustering inductive technology based on complex using of the self-organizing SOTA and the density DBSCAN clustering algorithms. The inductive methods of co...

    Sergii Babichev, Volodymyr Lytvynenko in Advances in Intelligent Systems and Comput… (2018)

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    Chapter and Conference Paper

    Objective Clustering Inductive Technology of Gene Expression Sequences Features

    Technology of high dimensional data features objective clustering based on the methods of complex systems inductive modeling is presented in the paper. Architecture of the objective clustering inductive techno...

    Sergii Babichev, Volodymyr Lytvynenko in Beyond Databases, Architectures and Struct… (2017)