Oleg Makarynskyy

Australian Institute of Marine Science, Australia
Arafura Timor Research Facility

Scopus profile:
Publons: link
Google Scholar profile: link
ID ORCID: https://orcid.org/0000-0002-0505-5882

Selected Publications:

  1. Greenslade, D., Hemer, M., Babanin, A., Makarynskyy, O., Zhong, A., Zieger, S. (2020). 15 priorities for wind-waves research: An Australian perspective. Bulletin of the American Meteorological Society, 101 (4), E446–E461
  2. Ghorbani, M. A., Asadi, H., Makarynskyy, O., Makarynska, D., Yaseen, Z. M. (2017). Augmented chaos-multiple linear regression approach for prediction of wave parameters. Engineering Science and Technology, an International Journal, 20 (3), 1180–1191. doi: http://doi.org/10.1016/j.jestch.2016.12.001 

  3. Ghorbani, M. A., Khatibi, R., FazeliFard, M. H., Naghipour, L., Makarynskyy, O. (2015). Short-term wind speed predictions with machine learning techniques. Meteorology and Atmospheric Physics, 128 (1), 57–72. doi: http://doi.org/10.1007/s00703-015-0398-9 

  4. Makarynskyy, O., Makarynska, D., Rayson, M., Langtry, S. (2015). Combining deterministic modelling with artificial neural networks for suspended sediment estimates. Applied Soft Computing, 35, 247–256. doi: http://doi.org/10.1016/j.asoc.2015.05.044 

  5. Domenico, M. D., Ghorbani, M. A., Makarynskyy, O., Makarynska, D., Asadi, H. (2013). Chaos and reproduction in sea level. Applied Mathematical Modelling, 37 (6), 3687–3697. doi: http://doi.org/10.1016/j.apm.2012.08.018 

  6. Karimi, S., Kisi, O., Shiri, J., Makarynskyy, O. (2013). Neuro-fuzzy and neural network techniques for forecasting sea level in Darwin Harbor, Australia. Computers & Geosciences, 52, 50–59. doi: http://doi.org/10.1016/j.cageo.2012.09.015 

  7. Shiri, J., Kişi, Ö., Makarynskyy, O., Shiri, A.-A., Nikoofar, B. (2012). Forecasting daily stream flows using artificial intelligence approaches. ISH Journal of Hydraulic Engineering, 18 (3), 204–214. doi: http://doi.org/10.1080/09715010.2012.721189 

  8. Shiri, J., Makarynskyy, O., Kisi, O., Dierickx, W., Fard, A. F. (2011). Prediction of Short-Term Operational Water Levels Using an Adaptive Neuro-Fuzzy Inference System. Journal of Waterway, Port, Coastal, and Ocean Engineering, 137 (6), 344–354. doi: http://doi.org/10.1061/(asce)ww.1943-5460.0000097