Vasyl Lytvyn

Lviv Polytechnic National University, Ukraine
Doctor of Technical Sciences, Professor
Department of information systems and networks

Scopus profile: link
Researcher ID: AAY-9371-2020
GoogleScholar profile: link
ID ORCID: https://orcid.org/0000-0002-9676-0180

Selected Publications:

  1. Vladov, S., Vysotska, V., Sokurenko, V., Muzychuk, O., Nazarkevych, M., Lytvyn, V. (2024). Neural Network System for Predicting Anomalous Data in Applied Sensor Systems. Applied System Innovation, 7 (5), 88. https://doi.org/10.3390/asi7050088 

  2. Vladov, S., Yakovliev, R., Vysotska, V., Nazarkevych, M., Lytvyn, V. (2024). The Method of Restoring Lost Information from Sensors Based on Auto-Associative Neural Networks. Applied System Innovation, 7 (3), 53. https://doi.org/10.3390/asi7030053 

  3. Peleshchak, R., Lytvyn, V., Peleshchak, I., Dudyk, D., Uhryn, D. (2024). Data Clustering by Chaotic Oscillatory NeuralNetworks with Dipole Synaptic Connections. International Journal of Modern Education and Computer Science, 16 (3), 27–38. https://doi.org/10.5815/ijmecs.2024.03.03 

  4. Peleshchak, R. M., Lytvyn, V. V., Nazarkevych, M. A., Peleshchak, I. R., Nazarkevych, H. Y. (2024). Influence of the Symmetry Neural Network Morphology on the Mine Detection Metric. Symmetry, 16 (4), 485. https://doi.org/10.3390/sym16040485 

  5. Vladov, S., Avkurova, Z., Lytvyn, V., Zhovnir, Y. (2024). Analytical Neural Network System for the Helicopter Turboshaft Engines Operating Modes Classification. International Journal of Computing, 23 (3), 342–359. https://doi.org/10.47839/ijc.23.3.3653 

  6. Hnatushenko, V., Korobko, O., Lytvyn, V., Nikulin, S., Sergieieva, K. (2022). Information System for Estimation Spatial Characteristics of Lineament Networks Derived from Satellite Images. CEUR Workshop Proceedings, 3156, 561–571.

  7. Peleshchak, R., Lytvyn, V., Peleshchak, I., Rybchak, Z., Mushasta, S. et. al. (2022). Text Tonality Classification Using a Hybrid Convolutional Neural Network with Parallel and Sequential Connections Between Layers. CEUR Workshop Proceedings, 3171, 904–915.

  8. Peleshchak, R., Lytvyn, V., Kholodna, N., Peleshchak, I., Vysotska, V. (2022). Two-Stage AES Encryption Method Based on Stochastic Error of a Neural Network. 2022 IEEE 16th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET). doi: https://doi.org/10.1109/tcset55632.2022.9766991 

  9. Bihun, R., Lytvyn, V. (2022). Optimization of garbage removal within a territorial community. Eastern-European Journal of Enterprise Technologies, 1 (3 (115)), 24–30. doi: https://doi.org/10.15587/1729-4061.2022.252001 

  10. Peleshchak, I., Peleshchak, R., Lytvyn, V., Kopka, J., Wrzesien, M., Korniak, J. et. al. (2020). Spectral Image Recognition Using Artificial Dynamic Neural Network in Information Resonance Mode. Artificial Intelligence and Industrial Applications, 313–322. doi:  http://doi.org/10.1007/978-3-030-51186-9_22

  11. Lytvyn, V., Dosyn, D., Vysotska, V., Hryhorovych, A. (2020). Method of Ontology Use in OODA. 2020 IEEE Third International Conference on Data Stream Mining & Processing (DSMP). doi: http://doi.org/10.1109/dsmp47368.2020.9204107 

  12. Lytvyn, V., Burov, Y., Vysotska, V.,Hryhorovych, V. (2020). Knowledge Novelty Assessment During the Automatic Development of Ontologies. 2020 IEEE Third International Conference on Data Stream Mining & Processing (DSMP). doi: http://doi.org/10.1109/dsmp47368.2020.9204124 

  13. Vysotska, V., Burov, Y., Lytvyn, V., Oleshek, O. (2019). Automated Monitoring of Changes in Web Resources. Lecture Notes in Computational Intelligence and Decision Making, 348–363. doi: http://doi.org/10.1007/978-3-030-26474-1_25 

  14. Demchuk, A., Lytvyn, V., Vysotska, V., Dilai, M. (2019). Methods and Means of Web Content Personalization for Commercial Information Products Distribution. Lecture Notes in Computational Intelligence and Decision Making, 332–347. doi: http://doi.org/10.1007/978-3-030-26474-1_24 

  15. Lytvyn, V., Peleshchak, I., Peleshchak, R., Holoshchuk, R. (2018). Detection of multispectral input images using nonlinear artificial neural networks. 2018 14th International Conference on Advanced Trends in Radioelecrtronics, Telecommunications and Computer Engineering (TCSET). doi: https://doi.org/10.1109/tcset.2018.8336169 

  16. Lytvyn, V., Vysotska, V., Peleshchak, I., Rishnyak, I., Peleshchak, R. (2018). Time Dependence of the Output Signal Morphology for Nonlinear Oscillator Neuron Based on Van der Pol Model. International Journal of Intelligent Systems and Applications, 10 (4), 8–17. doi: https://doi.org/10.5815/ijisa.2018.04.02 

  17. Lytvyn, V., Peleshchak, I., Peleshchak, R. (2017). Increase the speed of detection and recognition of computer attacks in combined diagonalized neural networks. 2017 4th International Scientific-Practical Conference Problems of Infocommunications. Science and Technology (PIC S&T). doi: https://doi.org/10.1109/infocommst.2017.8246370 

  18. Lytvyn, V., Vysotska, V., Uhryn, D., Hrendus, M., Naum, O. (2018). Analysis of statistical methods for stable combinations determination of keywords identification. Eastern-European Journal of Enterprise Technologies, 2 (2 (92)), 23–37. doi: https://doi.org/10.15587/1729-4061.2018.126009 

  19. Lytvyn, V., Vysotska, V., Burov, Y., Veres, O., Rishnyak, I. (2017). The Contextual Search Method Based on Domain Thesaurus. Advances in Intelligent Systems and Computing, 310–319. doi: https://doi.org/10.1007/978-3-319-70581-1_22 

  20. Lytvyn, V., Vysotska, V., Veres, O., Rishnyak, I., Rishnyak, H. (2017). The risk management modelling in multi project environment. 2017 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT). doi: https://doi.org/10.1109/stc-csit.2017.8098730 

  21. Vasyl, L., Victoria, V., Dmytro, D., Roman, H., Zoriana, R. (2017). Application of sentence parsing for determining keywords in Ukrainian texts. 2017 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT). doi: https://doi.org/10.1109/stc-csit.2017.8098797