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       5

M. Mojto – K. Ľubušký – M. FikarR. 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       1
  • 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.
M. Mojto – K. Ľubušký – M. FikarR. 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. FikarR. 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       1
  • 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.
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