Selected author's and co-author's publications of the Department's employees and doctoral students:

  • Czyżniewski M., Łangowski R.: A robust sliding mode observer for non-linear uncertain biochemical systems, ISA Transactions, 2022, vol. 123, pp. 25-45, JCR Impact Factor: 5,911, pkt. 140.
  • Puchalski, B. (2022). Neural approximators for variable-order fractional calculus operators (VO-FC). IEEE Access, 10, 7989-8004. 100 pkt
  • Ujazdowski T., Piotrowski R. (2022). Task Scheduling – Review of Algorithms and Analysis of Potential Use in a Biological Wastewater Treatment Plant. IEEE Access, Vol. 10, pp. 45230-45240 (ISSN: 2169-3536) – lista filadelfijska (Impact Factor w 2021r.: 3.476), 100pkt.
  • Klawikowska, Z., Ujazdowski T., Grochowski, M., Piotrowski R. How high-tech solutions support the fight against IUU and ghost fishing: a review of innovative approaches, methods, and trends. IEEE Access, 2022. 100 pkt.
  • Miroslaw Wołoszyn, Krystian Buszman, Tomasz A. Rutkowski and Jaroslaw Tarnawski. An analytical four-layer horizontal electric current dipole model for analysing underwater electric potential in shallow seawater. Scientific Reports 12, 8727, 2022. https://doi.org/10.1038/s41598-022-12645-z
  • Majchrowska S., Mikołajczyk A., Ferlin M., Klawikowska Z., Plantykow M. A., Kwasigroch A., Majek K.: Deep learning-based waste detection in natural and urban environments// WASTE MANAGEMENT -,iss. 138 (2021), s.274-284, 200 pkt.
  • Witanowski Ł., Breńkacz Ł., Szewczuk-Krypa N., Drosińska-Komor M., Puchalski B.: Comparable analysis of PID controller settings in order to ensure reliable operation of active foil bearings// Eksploatacja i Niezawodność - Maintenance and Reliability -Vol. 24,iss. 2 (2022), s.377-385
  • Laddach K., Łangowski R., Rutkowski T.A., Puchalski B.: An automatic selection of optimal recurrent neural network architecture for processes dynamics modelling purposes, Applied Soft Computing, 2022, vol. 116, paper no. 108375, JCR Impact Factor: 8,263, pkt. 200.
  • Piotrowski R., Sawicki H., Żuk K. (2021). Novel hierarchical nonlinear control algorithm to improve dissolved oxygen control in biological WWTP. Journal of Process Control, Vol. 105, pp. 78-87 (ISSN: 0959-1524) – lista filadelfijska (Impact Factor w 2021r.: 3.951), – 140pkt.
  • Mikołajczyk, A., Grochowski, M., and Kwasigroch, A. Towards explainable classifiers using the counterfactual approach-global explanations for discovering bias in data. Journal of Arti_cial Intelligence and Soft Computing Research, 11(1), p.51-67, 2021, 140 pkt.
  • Pawel Sokólski Tomasz A. Rutkowski, Bartosz Ceran, Dariusz Horla, and Daria Złotecka. Power System Stabilizer as a Part of a Generator MPC Adaptive Predictive Control System. Energies 14, no. 20: 6631, 2021. https://doi.org/10.3390/en14206631
  • Jaroslaw Tarnawski, Krystian Buszman, Miroslaw Woloszyn, Tomasz A. Rutkowski, Adam Cichocki, Rafal Józwiak. Measurement campaign and mathematical model construction for the ship Zodiak magnetic signature reproduction. Measurement, Volume 186, 110059, 2021. https://doi.org/10.1016/j.measurement.2021.110059
  • Ferlin M., Grochowski M., Kwasigroch A., Mikołajczyk A., Szurowska E., Grzywińska M., Sabisz A.: A Comprehensive Analysis of Deep Neural-Based Cerebral Microbleeds Detection System// Electronics -Vol. 10,iss. 18 (2021), 100 pkt.
  • Waszak M., Łangowski R.: An automatic self-tuning control system design for an inverted pendulum, IEEE Access, 2020, vol. 8, no. 1, pp. 26726-26738, JCR Impact Factor: 3,367, pkt. 100.
  • Puchalski, B., & Rutkowski, T. A. (2020). Approximation of fractional order dynamic systems using elman, GRU and LSTM neural networks. In International Conference on Artificial Intelligence and Soft Computing (pp. 215-230). Springer, Cham.
  • Grochowski M., Wąsowicz M., Mikołajczyk A. Ficek M., Kulka M., Wróbel M.S., Jędrzejewska-Szczerska M. (2019). Machine learning system for automated blood smear analysis. Metrology and Measurement Systems. Vol. 26 (2019) No. 1, pp. 81 – 93.
  • Piotrowski R., Lewandowski M., Paul A. (2019). Mixed integer nonlinear optimization of biological processes in wastewater sequencing batch reactor. Journal of Process Control, Vol. 84, pp. 89-100 (ISSN: 0959-1524) – lista filadelfijska (Impact Factor w 2019r.: 3.624), 140pkt.
  • Grochowski M., Mikołajczyk A., Kwasigroch A. (2019). Diagnosis of malignant melanoma by neural network ensemble-based system utilising hand-crafted skin lesion features. Metrology and Measurement Systems. Vol. 26 (2019), No. 1, pp. 65 – 80.
  • Grochowski M., Kwasigroch A., Mikołajczyk A. (2019). Selected Technical Issues of Deep Neural Networks for Image Classification Purposes. Bulletin of the Polish Academy of Sciences: Technical Sciences. Vol. 26 (2), 10.24425/bpas.2019.128485, 2019.
  • Łangowski R., Brdys M.A.: An optimised placement of the hard quality sensors for a robust monitoring of the chlorine concentration in drinking water distribution systems, Journal of Process Control, 2018, vol. 68, pp. 52-63, JCR Impact Factor: 3,316, pkt. 40 (wg listy MNiSW do 2019r.).
  • Łangowski R., Brdys M.A.: An interval estimator for chlorine monitoring in drinking water distribution systems under uncertain system dynamics, inputs and chlorine concentration measurement errors, International Journal of Applied Mathematics and Computer Science, 2017, vol. 27, no. 2, pp. 309-322, JCR Impact Factor: 1,694, pkt. 25 (wg listy MNiSW do 2019r.).
  • Hirsch P., Duzinkiewicz K., Grochowski M., Piotrowski R. (2016). Two-phase optimizing approach to design assessments of long distance heat transportation for CHP systems. Applied Energy 182 (2016), 164-176.
  • Tomasz A. Rutkowski, Filp Prokopiuk. Identification of the Contamination Source Location in the Drinking Water Distribution System Based on the Neural Network Classifier. IFAC-PapersOnLine, Volume 51, Issue 24, Pages 15-22, 2018. https://doi.org/10.1016/j.ifacol.2018.09.523
  • Hirsch P., Grochowski M., Duzinkiewicz K. (2018). Decision support system for design of long distance heat transportation system. Energy and Buildings, Vol. 173 (2018), pp. 378-388.
  • Puchalski, B., Rutkowski, T. A., & Duzinkiewicz, K. (2020). Fuzzy multi-regional fractional PID controller for pressurized water nuclear reactor. ISA transactions, 103, 86-102.
  • Puchalski, B., Rutkowski, T. A., & Duzinkiewicz, K. (2017). Nodal models of Pressurized Water Reactor core for control purposes–A comparison study. Nuclear Engineering and Design, 322, 444-463.
  • Kulkowski K., Grochowski M., Duzinkiewicz K., Kobylarz A. (2017). Nuclear Power Plant Steam Turbine - Modeling for Model Based Control Purposes. Applied Mathematical Modelling, 48 (2017), pp. 491-515.
  • Puchalski, B., Duzinkiewicz, K., & Rutkowski, T. (2015). Multi-region fuzzy logic controller with local PID controllers for U-tube steam generator in nuclear power plant. Archives of Control Sciences, 25(4), 429-444.