Using parallel random search to train fuzzy neural networks. - Andrii O. Oliinyk; S. Yu. Skrupsky; Sergei Subbotin 001 (Autom. Control. Comput. Sci., 2014)

Factor analysis of transaction data bases. - Andrii O. Oliinyk; T. A. Zaiko; Sergei Subbotin 001 (Autom. Control. Comput. Sci., 2014)

Experimental investigation with analyzing the training method complexity of neuro-fuzzy networks based on parallel random search. - Andrii O. Oliinyk; S. Yu. Skrupsky; Sergei Subbotin 001 (Autom. Control. Comput. Sci., 2015)

Parallel method of production rules extraction based on computational intelligence. - Andrii O. Oliinyk; S. Yu. Skrupsky; Sergey Subbotin 001; Igor Korobiichuk (Autom. Control. Comput. Sci., 2017)

Feature Selection Based on Parallel Stochastic Computing. - Andrii Oliinyk; Sergey Subbotin 001; Valerii Lovkin; Serhii Leoshchenko; Tetiana Zaiko (CSIT (1), 2018)

Synthesis of Artificial Neural Networks Using a Modified Genetic Algorithm. - Serhii Leoshchenko; Andrii O. Oliinyk; Sergey Subbotin 001; Nataliia Gorobii; Tetiana Zaiko (IDDM, 2018)

Experimental Research and Analysis of Complexity of Parallel Method for Production Rules Extraction. - Andrii O. Oliinyk; S. Yu. Skrupsky; Sergei Subbotin 001 (Autom. Control. Comput. Sci., 2018)

Genetic Method of Image Processing for Motor Vehicle Recognition. - Ievgen Fedorchenko; Andrii O. Oliinyk; Alexander Stepanenko; Tetiana Zaiko; Anton Svyrydenko; Dmytro Goncharenko (CMIS, 2019)

Modification of the Genetic Method for Neuroevolution Synthesis of Neural Network Models for Medical Diagnosis. - Serhii Leoshchenko; Andrii O. Oliinyk; Sergey Subbotin 001; Nataliia Gorobii; Vadym Shkarupylo (CMIS, 2019)

Parallel Genetic Method for the Synthesis of Recurrent Neural Networks for Using in Medicine. - Serhii Leoshchenko; Andrii O. Oliinyk; Stepan Skrupsky; Sergey Subbotin 001; Viktor Lytvyn (CMIS, 2019)

Diagnostic Signal Nonstationarity Reduction to Predict the Helicopter Transmission State on the Basis of Intelligent Information Technologies. - Igor Limarev; Sergey Subbotin 001; Andrii O. Oliinyk; Ihor Drokin (CMIS, 2019)

Analysis of Echo-Pulse Images of Layered Structures. The Method of Signal Under Space. - Alexandr Stepanenko; Andrii O. Oliinyk; Ievgen Fedorchenko; Viktor Kuzmin; Mariia Kuzmina; Dmytro Goncharenko (CMIS, 2019)

Implementation of Selective Pressure Mechanism to Optimize Memory Consumption in the Synthesis of Neuromodels for Medical Diagnostics. - Serhii Leoshchenko; Andrii O. Oliinyk; Sergey Subbotin 001; Tetiana Zaiko; Nataliia Gorobii (IDDM, 2019)

Development of Genetic Methods for Predicting the Incidence of Volumes of Emissions of Pollutants in Air. - Andrii O. Oliinyk; Ievgen Fedorchenko; Alexandr Stepanenko; Alexander Katschan; Yuliia Fedorchenko; Anastasia Kharchenko; Dmytro Goncharenko (IDDM, 2019)

Parallel Method of Neural Network Synthesis Based on a Modified Genetic Algorithm Application. - Serhii Leoshchenko; Andrii O. Oliinyk; Stepan Skrupsky; Sergey Subbotin 001; Tetiana Zaiko (MoMLeT, 2019)

Genetic Algorithm for Solution of the Problem of Optimal Location of the Distributed Electrical Networks. - Dmytro Goncharenko; Andrii Oliinyk; Ievgen Fedorchenko; Serhii Korniienko; Alexander Stepanenko; Anastasia Kharchenko; Yuliia Fedorchenko (ACIT, 2020)

Adaptive Mechanisms for Parallelization of the Genetic Method of Neural Network Synthesis. - Serhii Leoshchenko; Andrii Oliinyk; Sergey Subbotin 001 (ACIT, 2020)

Smart crossover mechanism for parallel neuroevolution method of medical diagnostic models synthesis. - Serhii Leoshchenko; Sergey Subbotin 001; Andrii O. Oliinyk; Viktor Lytvyn; Matviy Ilyashenko (CMIS, 2020)

Application of the fuzzy clustering technique for processing and analysis of medical images. - Alexander Stepanenko; Andrii O. Oliinyk; Ievgen Fedorchenko (CMIS, 2020)

On Hoare Triples Applicability to Dependable System Specification Synthesis. - Vadym Shkarupylo; Alexander Chemeris; Valentyna Dusheba; Ravil Kudermetov; Andrii O. Oliinyk (DESSERT, 2020)

Development of a Genetic Method for Image Recognition in the Form of Radiographs. - Ievgen Fedorchenko; Andrii O. Oliinyk; Alexander Stepanenko; Tetiana Fedoronchak; Yuliia Fedorchenko; Anastasia Kharchenko; Dmytro Goncharenko (IDDM, 2020)

Sequencing for Encoding in Neuroevolutionary Synthesis of Neural Network Models for Medical Diagnosis. - Serhii Leoshchenko; Andrii O. Oliinyk; Sergey Subbotin 001; Tetiana Zaiko; Serhii Shylo; Viktor Lytvyn (IDDM, 2020)

Development of the Genetic Algorithm for Technical Diagnostics of Aircraft Blades. - Ievgen Fedorchenko; Andrii O. Oliinyk; Alexander Stepanenko; Anastasia Kharchenko (IT&I, 2020)

Development of an Evolutionary Optimization method for Financial indicators of pharmacies. - Andrii Oliinyk; Ievgen Fedorchenko; Vasyl Donenko; Alexandr Stepanenko; Serhii Korniienko; Anastasia Kharchenko (Int. J. Comput., 2020)

The Development of a Genetic Method for Predicting the Incidence of Diabetes. - Anastasia Kharchenko; Ievgen Fedorchenko; Tetiana Fedoronchak; Andrii Oliinyk; Alexander Stepanenko; Marharyta Saman (ACIT, 2021)

Implementation of Probabilistic Data Structures in the Processes of Neuroevolutionary Synthesis. - Serhii Leoshchenko; Andrii Oliinyk; Sergey Subbotin 001; Viktor Lytvyn; Oleksandr Korniienko (CMIS, 2021)

Implementation of Reinforcement Learning Strategies in the Synthesis of Neuromodels to Solve Medical Diagnostics Tasks. - Serhii Leoshchenko; Andrii Oliinyk; Sergey Subbotin 001; Viktor Lytvyn; Oleksandr Korniienko (IDDM, 2021)

Using the Actor-Critic Method for Population Diversity in Neuroevolutionary Synthesis. - Serhii Leoshchenko; Andrii O. Oliinyk; Sergey Subbotin 001; Vadym Shkarupylo (IntelITSIS, 2021)

Air Pollution Prediction as a Source for Decision Making Framework in Medical Diagnosis. - Valerii Lovkin; Andrii O. Oliinyk; Yurii Lukashenko (IntelITSIS, 2021)

The Development of a Genetic Method to Optimize the Flue Gas Desulfurization Process. - Ievgen Fedorchenko; Andrii Oliinyk; Tetiana Fedoronchak; Tetiana Zaiko; Anastasiia Kharchenko (MoMLeT+DS, 2021)

Neuroevolutionary Mechanisms in the Synthesis of Spiking Neural Networks. - Serhii Leoshchenko; Andrii Oliinyk; Sergey Subbotin 001; Matviy Ilyashenko; Artem Borovikov (CMIS, 2022)

ICT Services Market's Impact on ICT-Enabled Services Market: Comparative Cross-Country Analysis. - Andrii Oliinyk; Ellana Molchanova; Liudmyla Sierova; Yuriy Kulyk; Liudmyla Huliaieva; Ianina Tkachenko (ACIT, 2023)

Thermal Image Super-Resolution Methods Using Neural Networks. - Andrii Didenko; Andrii Oliinyk; Sergey Subbotin 001 (CMIS, 2023)

Neuroevolution Methods for Organizing the Search for Anomalies in Time Series. - Serhii Leoshchenko; Andrii Oliinyk; Sergey Subbotin 001; Matviy Ilyashenko; Tetiana Kolpakova (CMIS, 2023)

Development of a modified genetic method for automatic university scheduling. - Ievgen Fedorchenko; Andrii Oliinyk; Tetiana Zaiko; Kyrylo Miedviediev; Yuliia Fedorchenko; Mykola Khokhlov (CS&SE@SW, 2023)

Modified convolutional neural network for pattern recognition of malaria cells. - Ievgen Fedorchenko; Andrii Oliinyk; Aleksandr Stepanenko; Maksym Chornobuk; Tetiana Fedoronchak (IntelITSIS, 2023)

Cost-Effectiveness of Digitalisation in Europe. - Kateryna Kovtoniuk; Ellana Molchanova; Andrii Oliinyk; Liudmyla Huliaieva; Yuriy Kulyk; Yuliya Demkiv (ACIT, 2024)

ICT Investment Impact on Economic Growth: Comparing Developing and Advanced Economies. - Andrii Oliinyk; Tetiana Melnyk; Kateryna Kovtoniuk; Liudmyla Huliaieva; Ellana Molchanova; Ianina Tkachenko (ACIT, 2024)

Employing Generative Artificial Intelligence in Replacement of Traditional Backend Systems. - Artur Moroz; Illia Solohubov; Andrii Oliinyk; Sergey A. Subbotin; Stepan Skrupsky (AUTOMATION, 2024)

The Modified Genetic Algorithm for Solving the Traveling Salesman Problem. - Illia Solohubov; Artur Moroz; Andrii Oliinyk; Sergey A. Subbotin; Stepan Skrupsky (AUTOMATION, 2024)

Implementation of Swarm Intelligence Methods for Preprocessing in Nuroevolution Synthesis. - Serhii Leoshchenko; Andrii Oliinyk; Sergey Subbotin 001; Tetiana Kolpakova (CMIS, 2024)

Apple leaf diseases detection using convolutional neural networks. - Sergey Subbotin 001; Andrii Oliinyk; Tetiana Kolpakova; Vladyslav Perehuda; Danylo Borovyk (MoMLeT, 2024)

Detection of Vehicles in Aerial Photographs Using Convolutional Neural Network. - Danylo Borovyk; Roman Fedoniuk; Andrii Oliinyk; Sergey Subbotin 001; Tetiana Kolpakova (SMARTINDUSTRY, 2024)

Compliance Source Authentication Technique for Person Adaptation Networks Utilizing Deep Learning-Based Patterns Segmentation. - Andrii Oliinyk; Jamil Abedalrahim Jamil Alsayaydeh; Mohd Faizal Bin Yusof; Vadym Shkarupylo; Volodymyr Artemchuk; Safarudin Gazali Herawan (IEEE Access, 2024)

Exploring the Potential Network Vulnerabilities in the Smart Manufacturing Process of Industry 5.0 via the Use of Machine Learning Methods. - Vadym Shkarupylo; Jamil Abedalrahim Jamil Alsayaydeh; Mohd Faizal Bin Yusof; Andrii Oliinyk; Volodymyr Artemchuk; Safarudin Gazali Herawan (IEEE Access, 2024)

Computer Model for Detecting Cervical Spine Fractures based on Computed Tomography Images. - Ievgen Fedorchenko; Andrii Oliinyk; Maksym Chornobuk; Yuliia Fedorchenko; Serhii Shylo; Mykola Khokhlov (Int. J. Comput., 2024)

Thermal Image Super-Resolution via Lightweight Efficient Channel Attention Network. - Andrii Didenko; Andrii Oliinyk (CMIS, 2025)

Blockchain Integration into Digital Twins for Secure and Autonomous Production Systems. - Maksym Zhmutskyi; Andrii Oliinyk; Tetiana Kolpakova; Yevgeny Gofman; Matviy Ilyashenko (SMARTINDUSTRY, 2025)