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ORCIDAndrii O. Oliinyk
Person information
- affiliation: National University "Zaporizhzhia Polytechnic", Zaporizhzhia, Ukraine
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2020 – today
- 2024
[j8]Andrii Oliinyk
, Jamil Abedalrahim Jamil Alsayaydeh, Mohd Faizal Bin Yusof, Vadym Shkarupylo, Volodymyr Artemchuk, Safarudin Gazali Herawan:
Compliance Source Authentication Technique for Person Adaptation Networks Utilizing Deep Learning-Based Patterns Segmentation. IEEE Access 12: 99045-99057 (2024)- [j7]Ievgen Fedorchenko, Andrii Oliinyk, Maksym Chornobuk, Yuliia Fedorchenko, Serhii Shylo, Mykola Khokhlov:
Computer Model for Detecting Cervical Spine Fractures based on Computed Tomography Images. Int. J. Comput. 23(1): 54-60 (2024) - [c33]Serhii Leoshchenko, Andrii Oliinyk, Sergey Subbotin, Tetiana Kolpakova:
Implementation of Swarm Intelligence Methods for Preprocessing in Nuroevolution Synthesis. CMIS 2024: 438-448 - [c32]Sergey Subbotin, Andrii Oliinyk, Tetiana Kolpakova, Vladyslav Perehuda, Danylo Borovyk:
Apple leaf diseases detection using convolutional neural networks. MoMLeT 2024: 1-14 - [c31]Danylo Borovyk, Roman Fedoniuk, Andrii Oliinyk, Sergey Subbotin, Tetiana Kolpakova:
Detection of Vehicles in Aerial Photographs Using Convolutional Neural Network. SMARTINDUSTRY 2024: 161-179 - 2023
- [c30]Andrii Oliinyk, Ellana Molchanova, Liudmyla Sierova, Yuriy Kulyk, Liudmyla Huliaieva, Ianina Tkachenko:
ICT Services Market's Impact on ICT-Enabled Services Market: Comparative Cross-Country Analysis. ACIT 2023: 224-229 - [c29]Serhii Leoshchenko, Andrii Oliinyk, Sergey Subbotin, Matviy Ilyashenko, Tetiana Kolpakova:
Neuroevolution Methods for Organizing the Search for Anomalies in Time Series. CMIS 2023: 164-176 - [c28]Andrii Didenko, Andrii Oliinyk, Sergey Subbotin:
Thermal Image Super-Resolution Methods Using Neural Networks. CMIS 2023: 214-223 - [c27]Ievgen Fedorchenko, Andrii Oliinyk, Tetiana Zaiko, Kyrylo Miedviediev, Yuliia Fedorchenko, Mykola Khokhlov:
Development of a modified genetic method for automatic university scheduling. CS&SE@SW 2023: 210-222 - [c26]Ievgen Fedorchenko, Andrii Oliinyk, Aleksandr Stepanenko, Maksym Chornobuk, Tetiana Fedoronchak:
Modified convolutional neural network for pattern recognition of malaria cells. IntelITSIS 2023: 239-248 - 2022
- [c25]Serhii Leoshchenko, Andrii Oliinyk, Sergey Subbotin, Matviy Ilyashenko, Artem Borovikov:
Neuroevolutionary Mechanisms in the Synthesis of Spiking Neural Networks. CMIS 2022: 88-97 - 2021
- [c24]Anastasia Kharchenko, Ievgen Fedorchenko, Tetiana Fedoronchak, Andrii Oliinyk, Alexander Stepanenko, Marharyta Saman:
The Development of a Genetic Method for Predicting the Incidence of Diabetes. ACIT 2021: 708-713 - [c23]Serhii Leoshchenko, Andrii Oliinyk, Sergey Subbotin, Viktor Lytvyn, Oleksandr Korniienko:
Implementation of Probabilistic Data Structures in the Processes of Neuroevolutionary Synthesis. CMIS 2021: 59-72 - [c22]Serhii Leoshchenko, Andrii Oliinyk, Sergey Subbotin, Viktor Lytvyn, Oleksandr Korniienko:
Implementation of Reinforcement Learning Strategies in the Synthesis of Neuromodels to Solve Medical Diagnostics Tasks. IDDM 2021: 34-43 - [c21]Serhii Leoshchenko, Andrii O. Oliinyk, Sergey Subbotin, Vadym Shkarupylo:
Using the Actor-Critic Method for Population Diversity in Neuroevolutionary Synthesis. IntelITSIS 2021: 99-107 - [c20]Valerii Lovkin, Andrii O. Oliinyk, Yurii Lukashenko:
Air Pollution Prediction as a Source for Decision Making Framework in Medical Diagnosis. IntelITSIS 2021: 295-302 - [c19]Ievgen Fedorchenko, Andrii Oliinyk, Tetiana Fedoronchak, Tetiana Zaiko, Anastasiia Kharchenko:
The Development of a Genetic Method to Optimize the Flue Gas Desulfurization Process. MoMLeT+DS 2021: 161-173 - 2020
- [j6]Andrii Oliinyk, Ievgen Fedorchenko, Vasyl Donenko, Alexandr Stepanenko, Serhii Korniienko, Anastasia Kharchenko:
Development of an Evolutionary Optimization method for Financial indicators of pharmacies. Int. J. Comput. 19: 449-463 (2020) - [c18]Dmytro Goncharenko, Andrii Oliinyk, Ievgen Fedorchenko, Serhii Korniienko, Alexander Stepanenko, Anastasia Kharchenko, Yuliia Fedorchenko:
Genetic Algorithm for Solution of the Problem of Optimal Location of the Distributed Electrical Networks. ACIT 2020: 380-385 - [c17]Serhii Leoshchenko, Andrii Oliinyk, Sergey Subbotin:
Adaptive Mechanisms for Parallelization of the Genetic Method of Neural Network Synthesis. ACIT 2020: 446-450 - [c16]Serhii Leoshchenko, Sergey Subbotin, Andrii O. Oliinyk, Viktor Lytvyn, Matviy Ilyashenko:
Smart crossover mechanism for parallel neuroevolution method of medical diagnostic models synthesis. CMIS 2020: 57-69 - [c15]Alexander Stepanenko, Andrii O. Oliinyk, Ievgen Fedorchenko:
Application of the fuzzy clustering technique for processing and analysis of medical images. CMIS 2020: 1079-1093 - [c14]Vadym Shkarupylo, Alexander Chemeris, Valentyna Dusheba, Ravil Kudermetov, Andrii O. Oliinyk:
On Hoare Triples Applicability to Dependable System Specification Synthesis. DESSERT 2020: 371-375 - [c13]Serhii Leoshchenko, Andrii O. Oliinyk, Sergey Subbotin, Tetiana Zaiko, Serhii Shylo, Viktor Lytvyn:
Sequencing for Encoding in Neuroevolutionary Synthesis of Neural Network Models for Medical Diagnosis. IDDM 2020: 62-71 - [c12]Ievgen Fedorchenko, Andrii O. Oliinyk, Alexander Stepanenko, Tetiana Fedoronchak, Yuliia Fedorchenko, Anastasia Kharchenko, Dmytro Goncharenko:
Development of a Genetic Method for Image Recognition in the Form of Radiographs. IDDM 2020: 94-107 - [c11]Ievgen Fedorchenko, Andrii O. Oliinyk, Alexander Stepanenko, Anastasia Kharchenko:
Development of the Genetic Algorithm for Technical Diagnostics of Aircraft Blades. IT&I 2020: 11-25
2010 – 2019
- 2019
- [c10]Serhii Leoshchenko, Andrii O. Oliinyk, Stepan Skrupsky, Sergey Subbotin, Viktor Lytvyn:
Parallel Genetic Method for the Synthesis of Recurrent Neural Networks for Using in Medicine. CMIS 2019: 1-17 - [c9]Serhii Leoshchenko, Andrii O. Oliinyk, Sergey Subbotin, Nataliia Gorobii, Vadym Shkarupylo:
Modification of the Genetic Method for Neuroevolution Synthesis of Neural Network Models for Medical Diagnosis. CMIS 2019: 143-158 - [c8]Ievgen Fedorchenko, Andrii O. Oliinyk, Alexander Stepanenko, Tetiana Zaiko, Anton Svyrydenko, Dmytro Goncharenko:
Genetic Method of Image Processing for Motor Vehicle Recognition. CMIS 2019: 211-226 - [c7]Igor Limarev, Sergey Subbotin, Andrii O. Oliinyk, Ihor Drokin:
Diagnostic Signal Nonstationarity Reduction to Predict the Helicopter Transmission State on the Basis of Intelligent Information Technologies. CMIS 2019: 510-522 - [c6]Alexandr Stepanenko, Andrii O. Oliinyk, Ievgen Fedorchenko, Viktor Kuzmin, Mariia Kuzmina, Dmytro Goncharenko:
Analysis of Echo-Pulse Images of Layered Structures. The Method of Signal Under Space. CMIS 2019: 755-770 - [c5]Serhii Leoshchenko, Andrii O. Oliinyk, Sergey Subbotin, Tetiana Zaiko, Nataliia Gorobii:
Implementation of Selective Pressure Mechanism to Optimize Memory Consumption in the Synthesis of Neuromodels for Medical Diagnostics. IDDM 2019: 109-120 - [c4]Andrii O. Oliinyk, Ievgen Fedorchenko, Alexandr Stepanenko, Alexander Katschan, Yuliia Fedorchenko, Anastasia Kharchenko, Dmytro Goncharenko:
Development of Genetic Methods for Predicting the Incidence of Volumes of Emissions of Pollutants in Air. IDDM 2019: 340-353 - [c3]Serhii Leoshchenko, Andrii O. Oliinyk, Stepan Skrupsky, Sergey Subbotin, Tetiana Zaiko:
Parallel Method of Neural Network Synthesis Based on a Modified Genetic Algorithm Application. MoMLeT 2019: 11-23 - 2018
- [j5]Andrii O. Oliinyk, S. Yu. Skrupsky, Sergei Subbotin:
Experimental Research and Analysis of Complexity of Parallel Method for Production Rules Extraction. Autom. Control. Comput. Sci. 52(2): 89-99 (2018) - [c2]Andrii Oliinyk, Sergey Subbotin, Valerii Lovkin, Serhii Leoshchenko, Tetiana Zaiko:
Feature Selection Based on Parallel Stochastic Computing. CSIT (1) 2018: 347-351 - [c1]Serhii Leoshchenko, Andrii O. Oliinyk, Sergey Subbotin, Nataliia Gorobii, Tetiana Zaiko:
Synthesis of Artificial Neural Networks Using a Modified Genetic Algorithm. IDDM 2018: 1-13 - 2017
- [j4]Andrii O. Oliinyk, S. Yu. Skrupsky, Sergey Subbotin, Igor Korobiichuk:
Parallel method of production rules extraction based on computational intelligence. Autom. Control. Comput. Sci. 51(4): 215-223 (2017) - 2015
- [j3]Andrii O. Oliinyk, S. Yu. Skrupsky, Sergei Subbotin:
Experimental investigation with analyzing the training method complexity of neuro-fuzzy networks based on parallel random search. Autom. Control. Comput. Sci. 49(1): 11-20 (2015) - 2014
- [j2]Andrii O. Oliinyk, T. A. Zaiko, Sergei Subbotin:
Factor analysis of transaction data bases. Autom. Control. Comput. Sci. 48(2): 87-96 (2014) - [j1]Andrii O. Oliinyk, S. Yu. Skrupsky, Sergei Subbotin:
Using parallel random search to train fuzzy neural networks. Autom. Control. Comput. Sci. 48(6): 313-323 (2014)
Coauthor Index
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last updated on 2024-08-05 20:24 CEST by the dblp team
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