- Position:
- Researcher
PhD student - Department:
- Department of Information Engineering and Process Control (DIEPC)
- Room:
- NB 647
- eMail:
- Home page:
- https://www.uiam.sk/~mojto
- Phone:
- +421 259 325 349
- ORCID iD:
- 0000-0002-6114-2710
- WoS ResearcherID:
- AAZ-3608-2020
- Google Scholar:
- sjBbi0AAAAAJ
- Availability:
Citations
- Total citations 10
M. Mojto – K. Ľubušký – M. Fikar – R. Paulen: Data-Driven Indication of Flooding in an Industrial Debutanizer Column. Editor(s): Antonis Kokossis, Michael C. Georgiadis, Efstratios N. Pistikopoulos, In 33rd European Symposium on Computer Aided Process Engineering, Elsevier, no. 1, vol. 33, pp. 1001–1006, 2023. Zenodo
- Number of citations 1
- Abdullah, A.S. – Ayoob, H.W. – Homod, R.Z. – Mohammed, H.I.: Enhancing liquefied petroleum gas production through debutanizer column optimization. Chemical Engineering Research and Design, vol. 206, pp. 242-250, 2024.
M. Mojto – K. Ľubušký – M. Fikar – R. Paulen: Support Vector Machine-based Design of Multi-model Inferential Sensors. Editor(s): Ludovic Montastruc, Stephane Negny, In 32nd European Symposium on Computer Aided Process Engineering, Elsevier, no. 1, vol. 32, pp. 1045–1050, 2022.
- Number of citations 2
- Kappatou, Chrysoula D. – Odgers, James – García-Muñoz, Salvador – Misener, Ruth: An Optimization Approach Coupling Preprocessing with Model Regression for Enhanced Chemometrics. Industrial and Engineering Chemistry Research, 2022.
- Liu, T. – Chen, S. – Yang, P. – Zhu, Y. – Mercangoz, M. – Harris, C.J.: Lifelong Learning Meets Dynamic Processes: An Emerging Streaming Process Prediction Framework With Delayed Process Output Measurement. IEEE Transactions on Control Systems Technology, no. 2, vol. 32, pp. 384-398, 2024.
M. Mojto – K. Ľubušký – M. Fikar – R. Paulen: Data-based design of inferential sensors for petrochemical industry. Computers & Chemical Engineering, vol. 153, pp. 107437, 2021. arXiv
- Number of citations 3
- Sanseverinatti, Carlos I. – Perdomo, Mariano M. – Clementi, Luis A. – Vega, Jorge R.: An Adaptive Soft Sensor for On-Line Monitoring the Mass Conversion in the Emulsion Copolymerization of the Continuous SBR Process. Macromolecular Reaction Engineering, 2023.
- Ikonen, Teemu J. – Bergman, Samuli – Corona, Francesco: A Bayesian inferential sensor for predicting the reactant concentration in an exothermic chemical process. Chemometrics and Intelligent Laboratory Systems, vol. 241, pp. 104942, 2023.
- Dai, Siyang – Cao, Deshun – Li, Na – Guo, Yian – Wang, Hao: Multiphysics modeling and experimental analysis of corrosion-assisted degradation in industrial pressure transducer packages under thermomechanical fatigue. Materials Chemistry and Physics, no. 129811, vol. 326, 2024.
M. Mojto – K. Ľubušký – M. Fikar – R. Paulen: Data-based Industrial Soft-sensor Design via Optimal Subset Selection. Editor(s): Metin Türkay, Rafiqul Gani, In 31st European Symposium on Computer Aided Process Engineering, Elsevier, vol. 31, pp. 1247–1252, 2021.
- Number of citations 2
- Shan, Baoming – Ma, Cuncheng – Niu, Chengqun – Xu, Qilei – Zhu, Zhaoyou – Wang, Yinglong – Zhang, Fangkun: Soft sensor model predictive control for azeotropic distillation of the separation of DIPE/IPA/water mixture. Journal of the Taiwan Institute of Chemical Engineers, vol. 152, 2023.
- Sildir, H. – Boy, O.C. – Sarrafi, S.: A Mixed-Integer Formulation for the Simultaneous Input Selection and Outlier Filtering in Soft Sensor Training. Information Systems Frontiers, 2024.
M. Furka – K. Kiš – M. Horváthová – M. Mojto – M. Bakošová: Identification and Control of a Cascade of Biochemical Reactors. In 2020 Cybernetics & Informatics (K&I), 2020.
- Number of citations 2
- Sunori, S.K. – Ajay Joshi, K. – Arora, S. – Mohan Sati, M. – Khan, F. – Mittal, A. – Juneja, P.: Model Identification and Controller Simulation for Distillation Column. In 5th International Conference on Inventive Computation Technologies, ICICT 2022 - Proceedings, pp. 545-550, 2022.
- Sunori, S.K. – Manu, M. – Arora, S. – Agarwal, P. – Mittal, A. – Juneja, P.: MPC and Fuzzy Logic Controllers Design for Biochemical Reactor Plant. In Proceedings - International Conference on Applied Artificial Intelligence and Computing, ICAAIC 2022, pp. 1694-1698, 2022.
