3 papers
cs.LG2023
Data-Based Design of Multi-Model Inferential Sensors
Martin Mojto, Karol Lubušký, Miroslav Fikar +1
This paper deals with the problem of inferential (soft) sensor design. The nonlinear character of industrial processes is usually the main limitation to designing simple linear inf…
cs.LG2022
Design of Multi-model Linear Inferential Sensors with SVM-based Switching Logic
Martin Mojto, Miroslav Fikar, Radoslav Paulen
We study the problem of data-based design of multi-model linear inferential (soft) sensors. The multi-model linear inferential sensors promise increased prediction accuracy yet sim…
cs.LG2021
Data-based Design of Inferential Sensors for Petrochemical Industry
Martin Mojto, Karol Ľubušký, Miroslav Fikar +1
Inferential (or soft) sensors are used in industry to infer the values of imprecisely and rarely measured (or completely unmeasured) variables from variables measured online (e.g.,…