- Pracovné zaradenie:
- Vedecko-výskumný pracovník
Doktorand - Oddelenie:
- Oddelenie informatizácie a riadenia procesov (OIaRP)
- Miestnosť:
- NB 647
- eMail:
- Webová stránka:
- https://www.uiam.sk/~mojto
- Telefón:
- +421 259 325 349
- ORCID iD:
- 0000-0002-6114-2710
- WoS ResearcherID:
- AAZ-3608-2020
- Google Scholar:
- sjBbi0AAAAAJ
- Dostupnosť:
Citácie
- Celkový počet citácií 10
M. Mojto – K. Ľubušký – M. Fikar – R. Paulen: Data-Driven Indication of Flooding in an Industrial Debutanizer Column. Editor(i): Antonis Kokossis, Michael C. Georgiadis, Efstratios N. Pistikopoulos, V 33rd European Symposium on Computer Aided Process Engineering, Elsevier, č. 1, zv. 33, str. 1001–1006, 2023. Zenodo
- Počet citácií 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, zv. 206, str. 242-250, 2024.
M. Mojto – K. Ľubušký – M. Fikar – R. Paulen: Support Vector Machine-based Design of Multi-model Inferential Sensors. Editor(i): Ludovic Montastruc, Stephane Negny, V 32nd European Symposium on Computer Aided Process Engineering, Elsevier, č. 1, zv. 32, str. 1045–1050, 2022.
- Počet citácií 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, č. 2, zv. 32, str. 384-398, 2024.
M. Mojto – K. Ľubušký – M. Fikar – R. Paulen: Data-based design of inferential sensors for petrochemical industry. Computers & Chemical Engineering, zv. 153, str. 107437, 2021. arXiv
- Počet citácií 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, zv. 241, str. 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, č. 129811, zv. 326, 2024.
M. Mojto – K. Ľubušký – M. Fikar – R. Paulen: Data-based Industrial Soft-sensor Design via Optimal Subset Selection. Editor(i): Metin Türkay, Rafiqul Gani, V 31st European Symposium on Computer Aided Process Engineering, Elsevier, zv. 31, str. 1247–1252, 2021.
- Počet citácií 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, zv. 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. V 2020 Cybernetics & Informatics (K&I), 2020.
- Počet citácií 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. V 5th International Conference on Inventive Computation Technologies, ICICT 2022 - Proceedings, str. 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. V Proceedings - International Conference on Applied Artificial Intelligence and Computing, ICAAIC 2022, str. 1694-1698, 2022.
