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2020 – today
- 2024
[j9]Kinga Szatmári, Gergely Horváth
, Sándor Németh, Wenshuai Bai, Alex Kummer:
Resilience-based explainable reinforcement learning in chemical process safety. Comput. Chem. Eng. 191: 108849 (2024)- [j8]Éva Kenyeres, Alex Kummer, János Abonyi:
Machine Learning Classifier-Based Metrics Can Evaluate the Efficiency of Separation Systems. Entropy 26(7): 571 (2024) - [j7]Tamás Kegyes, Alex Kummer, Zoltán Süle, János Abonyi:
Generally Applicable Q-Table Compression Method and Its Application for Constrained Stochastic Graph Traversal Optimization Problems. Inf. 15(4): 193 (2024) - 2022
- [j6]Ádám Sass, Alex Kummer, János Abonyi:
Multi-agent reinforcement learning-based exploration of optimal operation strategies of semi-batch reactors. Comput. Chem. Eng. 162: 107819 (2022) - [j5]Pál Péter Hanzelik, Alex Kummer, János Abonyi:
Edge-Computing and Machine-Learning-Based Framework for Software Sensor Development. Sensors 22(11): 4268 (2022) - 2020
- [j4]Alex Kummer, Tamás Varga, Lajos Nagy:
Semi-batch reactor control with NMPC avoiding thermal runaway. Comput. Chem. Eng. 134: 106694 (2020) - [j3]Alex Kummer, Lajos Nagy, Tamás Varga:
NMPC-based control scheme for a semi-batch reactor under parameter uncertainty. Comput. Chem. Eng. 141: 106998 (2020)
2010 – 2019
- 2019
- [j2]Alex Kummer, Tamás Varga, János Abonyi:
Genetic programming-based development of thermal runaway criteria. Comput. Chem. Eng. 131 (2019) - 2017
- [j1]Alex Kummer, Tamás Varga:
Feeding trajectory optimization in fed-batch reactor with highly exothermic reactions. Comput. Chem. Eng. 98: 1-11 (2017)
Coauthor Index
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