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Employment (1)

Slovak University of Technology in Bratislava: Bratislava, SK

2019-09-01 to present | PhD student (Institute of Information Engineering, Automation and Mathematics)
Employment
Source: Self-asserted source
Martin Mojto

Works (7)

Data-based design of multi-model inferential sensors

Computers & Chemical Engineering
2023-10 | Journal article
Contributors: Martin Mojto; Karol Ľubušký; Miroslav Fikar; Radoslav Paulen
Source: check_circle
Crossref

Data-based design of inferential sensors for petrochemical industry

arXiv
2021 | Other
EID:

2-s2.0-85109503434

Part of ISSN: 23318422
Contributors: Mojto, M.; Ľubušký, K.; Fikar, M.; Paulen, R.
Source: Self-asserted source
Martin Mojto via Scopus - Elsevier

Data-based design of inferential sensors for petrochemical industry

Computers and Chemical Engineering
2021 | Journal article
EID:

2-s2.0-85111054454

Part of ISSN: 00981354
Contributors: Mojto, M.; Ľubušký, K.; Fikar, M.; Paulen, R.
Source: Self-asserted source
Martin Mojto via Scopus - Elsevier

Data-based Industrial Soft-sensor Design via Optimal Subset Selection

Computer Aided Chemical Engineering
2021 | Book chapter
EID:

2-s2.0-85110538619

Part of ISSN: 15707946
Contributors: Mojto, M.; Ľubušký, K.; Fikar, M.; Paulen, R.
Source: Self-asserted source
Martin Mojto via Scopus - Elsevier

Dynamic optimisation Toolbox dynopt 5.0

Proceedings of the 2021 23rd International Conference on Process Control, PC 2021
2021 | Conference paper
EID:

2-s2.0-85111347788

Contributors: Fikar, M.; Furka, M.; Horvathova, M.; Kis, K.; Mojto, M.
Source: Self-asserted source
Martin Mojto via Scopus - Elsevier

Advanced Process Control of an Industrial Depropanizer Column using Data-based Inferential Sensors

Computer Aided Chemical Engineering
2020 | Book
EID:

2-s2.0-85092624176

Contributors: Mojto, M.; L'ubušký, K.; Fikar, M.; Paulen, R.
Source: Self-asserted source
Martin Mojto via Scopus - Elsevier

Identification and control of a cascade of biochemical reactors

Proceedings of the 30th International Conference on Cybernetics and Informatics, K and I 2020
2020 | Conference paper
EID:

2-s2.0-85083110011

Contributors: Furka, M.; Kis, K.; Horvathova, M.; Mojto, M.; Bakosova, M.
Source: Self-asserted source
Martin Mojto via Scopus - Elsevier