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ORCIDBohdan Sus
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- affiliation: Taras Shevchenko University of Kyiv, Ukraine
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Conference and Workshop Papers
- 2023
[c18]Bogdan B. Sus, Oleksandr S. Bauzha, Sergiy P. Zagorodnyuk, Taras Chaikivskyi, Oleksandr V. Hryshchuk:
Predictive machine learning of soybean oil epoxidizing reactions using artificial neural networks. CS&SE@SW 2023: 223-236- [c17]Bohdan Sus, Oleksandr S. Bauzha, Sergiy P. Zagorodnyuk, Valentyna Maliarenko:
Organizing the Synchronous Remote Labworks in Institutions of Technical Engineering Education. ICST 2023: 27-38 - [c16]Taras Chaikivskyi, Bohdan Sus, Sergiy P. Zagorodnyuk, Oleksandr S. Bauzha:
Data Processing of Ethylbenzene Oxidation Process using the Artificial Neural Networks. IntelITSIS 2023: 146-158 - 2022
- [c15]Taras Chaikivskyi, Bohdan Sus, Sergey Zagorodnyuk, Oleksandr S. Bauzha:
Modeling of Epoxidation Process by the Means of Artificial Neural Network. COLINS 2022: 1191-1201 - [c14]Taras Chaikivskyi
, Bogdan B. Sus, Sergiy P. Zagorodnyuk, Oleksandr S. Bauzha, Viktor Reutskyy:
Artificial Neural Networks Implementation in Ethylbenzene Oxidation Data Processing. CSIT 2022: 17-21 - [c13]Oleksandr S. Bauzha, Taras Chaikivskyi, Valentyna Maliarenko, Bohdan Sus, Sergiy P. Zagorodnyuk:
Optimizing the Process of Soybean Oil Epoxidation by the means of Artificial Intelligence. MoMLeT+DS 2022: 98-108 - 2021
- [c12]Taras Chaikivskyi, Valentyna Maliarenko, Bogdan Sus, Oleksandr S. Bauzha, Sergiy P. Zagorodnyuk, Viktor Reutskyy:
Development of Artificial Neural Networks for Cyclohexane Oxidation Data Analysis. CSIT (1) 2021: 25-28 - [c11]Sergiy P. Zagorodnyuk, Bohdan Sus, Oleksandr S. Bauzha, Taras Chaikivskyi:
Applying the Neural Network Technologies for Cyclohexane Industrial Oxidation Data Analysis. IT&I 2021: 39-49 - 2020
- [c10]Taras Chaikivskyi, Bogdan B. Sus, Oleksandr S. Bauzha, Sergiy P. Zagorodnyuk:
Multicomponent analyzer of volatile compounds characterization based on artificial neural networks. CMIS 2020: 819-831 - [c9]Taras Chaikivskyi, Bohdan Sus, Oleksandr S. Bauzha, Sergiy P. Zagorodnyuk:
Intelligent Neural Network Sensory System for the Analysis of Volatile Compounds in Beverages. CSIT 2020: 87-101 - [c8]Bohdan Sus, Ilona Revenchuk, Nataliia Tmienova, Oleksandr S. Bauzha, Taras Chaikivskyi:
Software System for Virtual Laboratory Works. CSIT (1) 2020: 396-399 - [c7]Bohdan Sus, Nataliia Tmienova, Ilona Revenchuk, Oleksandr S. Bauzha, Sergii G. Stirenko:
Gamification Approach to the Creation of Virtual Laboratory Works and Educational Courses. ICST 2020: 68-78 - [c6]Ilona Revenchuk, Bohdan Sus, Oleksandr S. Bauzha, Sergiy P. Zagorodnyuk:
Virtual laboratory as Custom E-learning Implementation and Design Solution. IT&I 2020: 177-187 - [c5]Sergiy P. Zagorodnyuk, Bohdan Sus, Oleksandr S. Bauzha:
OpenEMR Based Model of a Organizational Management System for a Medical Institution. ITS 2020: 235-245 - 2019
- [c4]Taras Chaikivskyi, Oleksandr S. Bauzha, Bogdan B. Sus, Nataliia Tmienova, Sergiy P. Zagorodnyuk:
3D Simulation of Virtual Laboratory on Electron Microscopy. DCSMart 2019: 282-291 - [c3]Bohdan Sus, Nataliia Tmienova, Ilona Revenchuk, Vira Vialkova:
Development of Virtual Laboratory Works for Technical and Computer Sciences. ICIST 2019: 383-394 - [c2]Nataliia Tmienova, Bogdan Sus:
System of Intellectual Ukrainian Language Processing. ITS 2019: 199-209 - 2018
- [c1]Nataliia Tmienova, Bogdan Sus:
Hardware Data Encryption Complex Based on Programmable Microcontrollers. ITS 2018: 199-208
Coauthor Index
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