Za zoznamy publikácií zodpovedajú ich autori. Kontaktujte ich, ak máte záujem o kópiu niektorej z publikácií.

1. K. Ng – S. Alirai – N. Alygizakis – Ľ. Čirka – M. Oswaldova – N. S. Thomaidis – J. Slobodník: Chapter 14 - Data dissemination and repositories, V Sample Handling and Trace Analysis of Pollutants, Editor(i): Damià Barceló and Yolanda Pico, Elsevier Science, str. 457–473, 2025.
2. J. Pócsová – A. Mojžišová – K. Valentová – D. Khistyeva – N. Krivoňáková: Active learning in engineering education. Editor(i): Luis Gómez Chova, Chelo González Martínez, Joanna Lees, V EDULEARN24 Proceedings -16th International Conference on Education and New Learning Technologies, IATED Academy, Valencia, Spain, zv. 2024, str. 9020–9028, 2024.
3. N. Krivoňáková – A. Maťašovský – P. Jánoš: Experience with innovating the teaching of mathematical subjects. Editor(i): Luis Gómez Chova, Chelo González Martínez, Joanna Lees, V EDULEARN24 Proceedings -16th International Conference on Education and New Learning Technologies, IATED Academy, Valencia, Spain, zv. 2024, str. 7542–7547, 2024.
4. M. Wadinger – M. Kvasnica – Y. Kawahara: Change-Point Detection in Industrial Data Streams based on Online Dynamic Mode Decomposition with Control. 2024.   arXiv   GitHub
5. M. Ferrero-Jaurieta – R. Paiva – A. Cruz – B. Bedregal – X. Zhang – Z. Takáč – C. Lopez-Molina – H. Bustince: Reduction of complexity using generators of pseudo-overlap and pseudo-grouping functions. Fuzzy Sets and Systems, zv. 490, 2024.
6. M. Ferrero-Jaurieta – R. Paiva – A. Cruz – B. Bedregal – L. De Miguel – Z. Takáč – C. Lopez-Molina – H. Bustince: Non-symmetric over-time pooling using pseudo-grouping functions for convolutional neural networks. Engineering Applications of Artificial Intelligence, zv. 133, 2024.
7. R. Kohút – M. Klaučo – M. Kvasnica: Unified carbon emissions and market prices forecasts of the power grid. Applied Energy, zv. 377, 2025.
8. Z. Ontkovičová – Y. Narukawa – K. Fujimoto – V. Torra: The Past and Future of Fuzzy Measures and Fuzzy Integrals. V Modeling Decisions for Artificial Intelligence, Springer Nature Switzerland, str. 3–7, 2024.
9. E. Pavlovičová – J. Vargan – P. Bakaráč – M. Fikar – J. Oravec: Offset-free MPC of Temperature in Smart Greenhouse VESNA. V Preprints of the 8th IFAC Conference on Nonlinear Model Predictive Control, IFAC, str. 314–317, 2024.   Zenodo
10. J. Oravec: Umelá inteligencia - dobrý sluha, zlý pán?, V Horizonty chémie, Slovenská chemická knižnica, zv. 38, str. 97–119, 2024.
11. D. Horváth – M. Klaučo – M. Strémy: Virtual Commissioning with TIA Step7 and Simulink without S-Functions. Journal of Engineering, 2024.   Zenodo
12. V. Dulio – N. Alygizakis – K. Ng – E. L. Schymanski – S. Andres – K. Vorkamp – J. Hollender – S. Finckh – R. Aalizadeh – L. Ahrens – E. Bouhoulle – Ľ. Čirka – A. Derksen – G. Deviller – A. Duffek – M. Esperanza – S. Fischer – Q. Fu – P. Gago-Ferrero – P. Haglund – M. Junghans – S. A. E. Kools – J. Koschorreck – B. Lopez – M. L. de Alda – G. Mascolo – C. Miege – L. Oste – S. O'Toole – P. Rostkowski – T. Schulze – K. Sims – L. Six – J. Slobodník – P. Staub – G. Stroomberg – N. S. Thomaidis – A. Togola – G. Tomasi – P. C. von der Ohe: Beyond target chemicals: updating the NORMAN prioritisation scheme to support the EU chemicals strategy with semi-quantitative suspect/non-target screening data. Environmental Sciences Europe, č. 1, zv. 36, 2024.
13. M. Ružička – I. Helgeland – R. Paulen: Modelling and Simulation of a Forward Osmosis Process. Editor(i): Flavio Manenti, G.V. Rex Reklaitis, V 34th European Symposium on Computer Aided Process Engineering /15th International Symposium on Process Systems Engineering, zv. 53, str. 319–324, 2024.   Zenodo
14. P. Valábek – M. Fikar – M. Klaučo: Enhancing Closed-Loop Performance in Manufacturing Processes Using Universal Controller Tuning for Industrial Practice. V 12th IFAC Symposium on Advanced Control of Chemical Processes, str. 375–380, 2024.   Zenodo
15. R. Dyrska – S. Leonow – M. Fikar – M. Mönnigmann: A Feasibility Condition for the Governor-based Tuning of Explicit MPC: Application to a Hydraulic Plant. V 12th IFAC Symposium on Advanced Control of Chemical Processes, str. 540–545, 2024.   Zenodo
16. R. Fáber – M. Mojto – K. Ľubušký – R. Paulen: Integrated Data Analytics and Regression Techniques for Real-time Anomaly Detection in Industrial Processes. V 12th IFAC Symposium on Advanced Control of Chemical Processes, str. 320–325, 2024.   Zenodo
17. M. Klaučo – P. Valábek: Application of Machine Learning in Accelerating MPC for Chemical Processes. V 12th IFAC Symposium on Advanced Control of Chemical Processes, 2024.   Zenodo
18. Z. Ontkovičová – V. Torra: Computation of Choquet integrals: Analytical approach for continuous functions. Information Sciences, zv. 679, str. 121105, 2024.
19. L. Galčíková – J. Oravec: Self-tunable approximated explicit MPC: Heat exchanger implementation and analysis. Journal of Process Control, zv. 140, str. 103260, 2024.   Zenodo
20. T. Visnyai: Convergence of series along the sets from special ideal. V Matematika, informační technologie a aplikované vedy, Univerzita obrany, Brno, str. 27–27, 2024.