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ORCIDMyroslav Komar
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2020 – today
- 2024
[c24]Myroslav Komar, Viktor Fedorovych, Vladyslav Poidych, Andrii Taborovskyi:
Intelligent System For Visual Testing Of Software Products. AISD 2024: 9-18- [c23]Myroslav Komar, Andrii Taborovskyi, Andrii Aliluiko, Serhii Hutsal:
Enhancing the Efficiency of Decision Support Systems in the Warehousing Sector. AISD 2024: 26-35 - [c22]Myroslav Komar, Khrystyna Lipianina-Honcharenko, Valentyn Domanskyi, Nazar Melnyk:
Regression-based method for real-time solar power plant efficiency forecasting. MoMLeT 2024: 235-245 - 2023
- [c21]Vladyslav Dombrovskyi, Mykhailo Dombrovskyi, Myroslav Komar, Vita Semaniuk, Galyna Liakhovych:
Emerging Digital Technologies Driven Approach to Increase the Supply Chains Competitivity. IDAACS 2023: 1241-1246 - [c20]Myroslav Komar, Ruslan Savchyshyn, Khrystyna Lipianina-Honcharenko, Oleksandr Osolinskyi:
Intelligent Method for Counting Cars from Satellite Images. IntSol 2023: 295-303 - 2022
- [c19]Mykola Dyvak, Andriy Pukas
, Volodymyr Manzhula, Natalia Kasatkina, Myroslav Komar, Vadym Zabchuk:
The Task of Parametric Identification the Interval Models with Nonlinear Parameters. ACIT 2022: 106-111 - [c18]Vasyl Tymchyshyn, Frank Otoo, Myroslav Komar, Volodymyr Shpak, Vita Semaniuk, Volodymyr Fronchko:
Model of an Autonomous Airmobile Complex for Measuring Air Pollution Concentrations by Vehicles. ACIT 2022: 423-427 - [c17]Lesia Dubchak, Nadiia Vasylkiv, Iryna Turchenko, Myroslav Komar, Tetiana Nadvynychna, Rudolf Volner:
Access Distribution to the Evaluation System Based on Fuzzy Logic. ACIT 2022: 564-567 - [c16]Myroslav Komar, Oleg Savenko, Anatoliy Sachenko, Taras Lendiuk, Khrystyna Lipianina-Honcharenko, Grygoriy Hladiy, Nadiia Vasylkiv:
Evaluation the Efficiency of Information Technology of Big Data Intelligence Analysis and Processing. COLINS 2022: 1087-1096 - 2020
- [j4]Sergei Anfilets, Sergei V. Bezobrazov, Vladimir A. Golovko, Anatoliy Sachenko, Myroslav Komar, Raman Dolny, Valery Kasyanik, Pavlo Bykovyy, Egor Mikhno, Oleksandr Osolinskyi:
Deep multilayer Neural Network for Predicting the Winner of Football Matches. Int. J. Comput. 19: 70-77 (2020) - [j3]Chunzhi Wang, Nataliya Shakhovska, Anatoliy Sachenko, Myroslav Komar:
A New Approach for Missing Data Imputation in Big Data Interface. Inf. Technol. Control. 49(4): 541-555 (2020)
2010 – 2019
- 2019
- [j2]Mykola Fisun, Mykhailo Dvoretskyi, Hlib Horban, Myroslav Komar:
Knowledge Management Applications based on User Activities feedback. Int. J. Comput. 18: 32-44 (2019) - [c15]Galina Shcherbakova, Viktor Krylov, Anatoliy Sachenko, Pavlo Bykovyy, Diana Zahorodnia, Myroslav Komar, Ivan Kit, Dmytro Lendiuk, Andriy Kaniovskyi, Mykola Dacko:
Method of Operative Search of Solder Joints During Printed Circuit Boards Development. CMIS 2019: 1030-1041 - [c14]Denys Zolotukhin, Anatoly Sachenko, Volodymyr Kochan, Myroslav Komar:
Textures Maps Complex for 3D Character Model Development. ICTERI 2019: 491-494 - [c13]Sergei V. Bezobrazov, Andrei Sheleh, Sergei Kislyuk, Vladimir A. Golovko, Anatoliy Sachenko, Myroslav Komar, Vitaliy Dorosh, Volodymyr Turchenko:
Artificial Intelligence for Sport Activitity Recognition. IDAACS 2019: 628-632 - [c12]Vladimir A. Golovko, Alexander Kroshchanka, Myroslav Komar, Anatoliy Sachenko:
Neural Network Approach for Semantic Coding of Words. ISDMCI 2019: 647-658 - [c11]Vladimir A. Golovko, Aliaksandr Kroshchanka, Egor Mikhno, Myroslav Komar, Anatoliy Sachenko, Sergei V. Bezobrazov, Inna Shylinska:
Deep Convolutional Neural Network for Recognizing the Images of Text Documents. MoMLeT 2019: 297-306 - 2018
- [c10]Myroslav Komar, Pavlo Yakobchuk, Vladimir A. Golovko, Vitaliy Dorosh, Anatoliy Sachenko:
Deep Neural Network for Image Recognition Based on the Caffe Framework. DSMP 2018: 102-106 - 2017
- [c9]Vladimir A. Golovko, Sergei V. Bezobrazov, Alexander Kroshchanka, Anatoliy Sachenko, Myroslav Komar, Andriy F. Karachka:
Convolutional neural network based solar photovoltaic panel detection in satellite photos. IDAACS 2017: 14-19 - [c8]Myroslav Komar, Volodymyr Kochan, Lesia Dubchak, Anatoliy Sachenko, Vladimir A. Golovko, Sergei V. Bezobrazov, Ihor Romanets:
High performance adaptive system for cyber attacks detection. IDAACS 2017: 853-858 - 2016
- [j1]Sergei V. Bezobrazov, Anatoly Sachenko, Myroslav Komar, Vladimir S. Rubanau:
The Methods of Artificial Intelligence for Malicious Applications Detection in Android OS. Int. J. Comput. 15: 184-190 (2016) - [c7]Myroslav Komar, Anatoliy Sachenko, Sergei V. Bezobrazov, Vladimir A. Golovko:
Intelligent Cyber Defense System Using Artificial Neural Network and Immune System Techniques. ICTERI (Revised Selected Papers) 2016: 36-55 - [c6]Myroslav Komar, Anatoliy Sachenko, Sergei V. Bezobrazov, Vladimir A. Golovko:
Intelligent Cyber Defense System. ICTERI 2016: 534-549 - 2015
- [c5]Sergei V. Bezobrazov, Anatoly Sachenko, Myroslav Komar, Vladimir S. Rubanau:
Artificial immune system for Android OS. IDAACS 2015: 403-407 - 2013
- [c4]Myroslav Komar, Vladimir A. Golovko, Anatoly Sachenko, Sergei V. Bezobrazov:
Development of neural network immune detectors for computer attacks recognition and classification. IDAACS 2013: 665-668 - 2011
- [c3]Myroslav Komar, Vladimir A. Golovko, Anatoly Sachenko, Sergei V. Bezobrazov:
Intelligent system for detection of networking intrusion. IDAACS (1) 2011: 374-377 - [c2]Mykola Dyvak, Andriy Pukas, Myroslav Komar:
Methods and tools for reducing the risk of damage the reverse laryngeal nerve during the surgical operation on a thyroid. IDAACS (2) 2011: 604-607 - [c1]Vladimir A. Golovko, Sergei V. Bezobrazov, Vasilii Melianchuk, Myroslav Komar:
Evolution of immune detectors in intelligent security system for malware detection. IDAACS (2) 2011: 722-726
Coauthor Index
aka: Anatoliy Sachenko
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