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. 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

  2. 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 

  3. 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 

  4. 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 

  5. 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 

  6. 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 

  7. 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 

  8. 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 

  9. 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 

  10. 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 

  11. 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 

  12. 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