Lukas Hrcka

Pattern Recognition for Predictive Analysis in Automotive Industry

Pavol Tanuska, Pavel Vazan, Veronika Simoncicova, 2017, CSOC.

Input Control in Production System by Simulation Optimization

Pavel Vazan, Lukas Hrcka, Dominika Jurovatá, 2014 .

Prediction of Selected Production Goals by Classification Methods

Pavel Važan, Pavol Tanuska, Lukas Hrcka, 2014 .

Concept of predictive maintenance of production systems in accordance with industry 4.0

Pavol Tanuska, Lukas Hrcka, Michal Kebisek, 2017, 2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI).

Data integration and transformation proposal for big data analyses in automotive industry

Pavol Tanuska, Pavel Vazan, Lukas Hrcka, 2017, 2017 IEEE 21st International Conference on Intelligent Engineering Systems (INES).

Data Pre-processing from Production Processes for Analysis in Automotive Industry

Pavol Tanuska, Pavel Vazan, Veronika Simoncicova, 2016 .

Neural Network Comparison for Paint Errors Classification for Automotive Industry in Compliance with Industry 4.0 Concept

Pavol Tanuska, Lukas Hrcka, Michal Kebisek, 2019, CSOC.

Decision Trees Accuracy Improvement for Production Errors Classification

Pavol Tanuska, Lukas Hrcka, Lukás Spendla, 2018, CSOS.

Proposal of Software Solution to Distant Access of the Alarm Registration Centre to Technical Equipment

Eduard Nemlaha, Lukas Hrcka, Frantisek Miksa, 2015 .

Using Text Mining Methods for Analysis of Production Data in Automotive Industry

Pavol Tanuska, Pavel Vazan, Veronika Simoncicova, 2017, CSOC.

Proposal of knowledge discovery platform for big data processing in manufacturing

Pavol Tanuska, Lukas Hrcka, Lukas Spendla, 2015 .