Igor Atamanyuk

Department of Applied Mathematics, Warsaw University of Life Sciences, Warsaw, Poland;
Department of Higher and Applied Mathematics, Mykolayiv National Agrarian University, Ukraine;
Doctor of Technical Sciences,  Professor, Head of Department 
Modeling, forecasting, filtering, recognition of random sequences and functions

Scopus profile: link
Researcher ID: E-5125-2018
Google Scholar profile: link
ID ORCID: https://orcid.org/0000-0002-8127-6193

Selected Publications:

  1. Atamanyuk, I., Kondratenko, Y., Havrysh, V., Volosyuk, Y. (2023). Computational method of the cardiovascular diseases classification based on a generalized nonlinear canonical decomposition of random sequences. Scientific Reports, 13 (1). doi: https://doi.org/10.1038/s41598-022-27318-0 
  2. Atamanyuk, I., Havrysh, V., Nitsenko, V., Diachenko, O., Tepliuk, M., Chebakova, T., Trofimova, H. (2022). Forecasting of Winter Wheat Yield: A Mathematical Model and Field Experiments. Agriculture, 13 (1), 41. doi: https://doi.org/10.3390/agriculture13010041 
  3. Kondratenko, Y., Atamanyuk, I., Sidenko, I., Kondratenko, G., Sichevskyi, S. (2022). Machine Learning Techniques for Increasing Efficiency of the Robot’s Sensor and Control Information Processing. Sensors, 22 (3), 1062. doi: https://doi.org/10.3390/s22031062 
  4. Atamanyuk, I., Kondratenko, Y., Zavgorodnii, A., Lugovoy, S., Lykhach, V., Kramarenko, S. (2021). Multiparameter Stochastic Control Model Based on the Random Sequence Canonical Expansion. 2021 IEEE 12th International Conference on Electronics and Information Technologies (ELIT). doi: https://doi.org/10.1109/elit53502.2021.9501146 
  5. Atamanyuk, I., Shebanin, V., Kondratenko, Y. (2020). Algorithm of Pre-whitening on the Basis of the Polynomial Canonical Expansion of Random Sequences. Proceedings of 2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET-2020). Lviv-Slavsk. doi: http://doi.org/10.1109/TCSET49122.2020.235402
  6. Kalinichenko, A., Havrysh, V., Atamanyuk, I. (2019). The Acceptable Alternative Vehicle Fuel Price. Energies, Special Issue Economics of Bioenergy, 12, 3889. doi: https://doi.org/10.3390/en12203889
  7. Atamanyuk, I., Kondratenko, Y., Solesvik, M. (2019). Control of Stochastic Systems Based on the Predictive Models of Random Sequences. Advanced Control Techniques in Complex Engineering Systems: Theory and Applications. Springer International Publishing, 105–128. doi: http://doi.org/10.1007/978-3-030-21927-7_6
  8. Atamanyuk, I., Kondratenko, V., Kondratenko, Y., Shebanin, V., Solesvik, M. (2018). Models and algorithms for prediction of electrical energy consumption based on canonical expansions of random sequences. Green IT Engineering: Social, Business and Industrial Applications. Springer International Publishing, 397–421. doi: http://doi.org/10.1007/978-3-030-00253-4_17
  9. Shebanin, V. S., Kondratenko, Y. P., Atamanyuk, I. P. (2018). The Method of Optimal Nonlinear Extrapolation of Vector Random Sequences on the Basis of Polynomial Degree Canonical Expansion. Advances in Intelligent Systems and Computing. Cham: Springer, 14–25. doi: http://doi.org/10.1007/978-3-319-75792-6_2
  10. Kondratenko, Y. P., Kozlov, O. V., Kondratenko, G. V., Atamanyuk, I. P. (2017). Mathematical Model and Parametrical Identification of Ecopyrogenesis Plant Based on Soft Computing Techniques. Complex Systems: Solutions and Challenges in Economics, Management and Engineering. Cham: Springer, 201–233. doi: http://doi.org/10.1007/978-3-319-69989-9_13
  11. Atamanyuk, I., Kondratenko, Y., Sirenko, N. (2017). Management System for Agricultural Enterprise on the Basis of Its Economic State Forecasting. Complex Systems: Solutions and Challenges in Economics, Management and Engineering. Cham: Springer, 453–470. doi: http://doi.org/10.1007/978-3-319-69989-9_27
  12. Kondratenko, Y., Khademi, G., Azimi, V., Ebeigbe, D., Abdelhady, M., Atamanyuk, I. et. al. (2017). Robotics and Prosthetics at Cleveland State University: Modern Information, Communication, and Modeling Technologies. Information and Communication Technologies in Education, Research, and Industrial Applications. Cham: Springer, 2017. P. 133–155. doi: http://doi.org/10.1007/978-3-319-69965-3_8
  13. Atamanyuk, I. P., Kondratenko, Y. P. (2016). Method of Generating Realizations of Random Sequence with the Specified Characteristics  Based on Nonlinear Canonical Decomposition. Journal of Automation and Information Sciences, 48 (10), 31–48. doi: http://doi.org/10.1615/jautomatinfscien.v48.i10.40 
  14. Shebanin, V., Atamanyuk, I., Kondratenko, Y. (2016). Simulation of vector random sequences based on polynomial degree canonical decomposition. Eastern-European Journal of Enterprise Technologies, 5 (4 (83)), 4–12. doi: http://doi.org/10.15587/1729-4061.2016.80786