We are coauthors of a new paper in the prestigious international scientific journal Computers & Chemical Engineering:

Martin Mojto - Karol Ľubušký - Miroslav Fikar - Radoslav Paulen: Data-Based Design of Multi-Model Inferential Sensors

The paper presents the design of inferential sensors, incorporating multiple linear models. The state-of-the-art methodology is enhanced to ensure continuous model switching and optimize the labeling of training data. This contribution is a result of our industrial cooperation with the refinery Slovnaft, a.s. in Bratislava, Slovakia. The publisher Elsevier provides open access to new research articles for 50 days to help share the current results.