Feb 24, 2020   1:10 a.m. Matej
Academic information system

Persons at STU


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prof. Ing. Pavol Tanuška, PhD.
Identification number: 248
University e-mail: pavol.tanuska [at] stuba.sk
 
Profesor CSc.,PhD. - Institute of Applied Informatics, Automation and Mechatronics (MTF)
Vice-dean - Faculty of Materials Science and Technology in Trnava

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The selected person is an author of the following publications.

Ord.PublicationsType of resultYearDetails
1.Analysis of the quality of the painting process using preprocessing techniques of text mining
Šimončičová, Veronika -- Tanuška, Pavol -- Heidecke, H.C. -- Rýdzi, S.
Analysis of the quality of the painting process using preprocessing techniques of text mining. In SILHAVY, R. Artificial Intelligence and Algorithms in Intelligent Systems: Vol. 2. 1st ed. Cham : Springer, 2019, p. 30--38. ISBN 978-3-319-91188-5.
contributions in anthologies, chapters in monographs/textbooks, abstracts2019Details
2.Decision trees accuracy improvement for production errors
Kebísek, Michal -- Špendla, Lukáš -- Tanuška, Pavol -- Hrčka, Lukáš
Decision trees accuracy improvement for production errors. Software Engineering and Algorithms in Intelligent Systems, p. 188--197.
articles in magazines2019Details
3.Design and implementation of information system module
Vlachovičová, Mária -- Tanuška, Pavol
Návrh a realizácia modulu informačného systému. Diploma thesis. 2019.
final thesis2019Details
4.Implementation of secure communication via the RF module for data acquisition
Dudák, Juraj -- Gašpar, Gabriel -- Tanuška, Pavol
Implementation of secure communication via the RF module for data acquisition. Journal of Sensors, 2019. p. 1--11.
articles in magazines2019Details
5.Knowledge discovery from heterogeneous databases for process control needs
Grígelová, Veronika -- Tanuška, Pavol
Získavanie znalostí z heterogénnych dátových úložísk pre potreby riadenia procesov. Dissertation thesis. 2019. 142 p.
final thesis2019Details
6.Neural network comparison for paint errors classification for automotive industry in compliance with industry 4.0 concept
Kebísek, Michal -- Špendla, Lukáš -- Tanuška, Pavol -- Gašpar, Gabriel -- Hrčka, Lukáš
Neural network comparison for paint errors classification for automotive industry in compliance with industry 4.0 concept. In ŠILHAVÝ, R. Artificial Intelligence Methods in Intelligent Algorithms. Cham: Springer Verlag, 2019, p. 353--359. ISBN 978-3-030-19809-1.
contributions in anthologies, chapters in monographs/textbooks, abstracts2019Details
7.Preparing influence analysis of meteoparameters on production process
Abasová, Jela -- Tanuška, Pavol
Preparing influence analysis of meteoparameters on production process. In SILHAVY, R. Software Engineering and Algorithms in Intelligent Systems. Cham: Springer, 2019, p. 109--120. ISBN 978-3-319-91185-4.
contributions in anthologies, chapters in monographs/textbooks, abstracts2019Details
8.Proposal and creation of a web portal for cooperation of universities with industry
Jirkovský, Martin -- Tanuška, Pavol
Návrh a tvorba web portálu pre spoluprácu univerzít s priemyselnou praxou. Bachelor thesis. 2019.
final thesis2019Details
9.Proposal and implementation of an information system for an industrial enterprise - maintenance module
Šrámek, Michal -- Tanuška, Pavol
Návrh a realizácia informačného systému pre priemyselný podnik - modul údržba. Bachelor thesis. 2019.
final thesis2019Details
10.Proposal and implementation of the information system module for the welding company
Šutiak, Daniel -- Tanuška, Pavol
Návrh a realizácia modulu informačného systému pre zváračskú firmu. Diploma thesis. 2019.
final thesis2019Details
11.Proposal of data pre-processing for purpose of analysis in accordance with the concept Industry 4.0
Grigelová, Veronika -- Abasová, Jela -- Tanuška, Pavol
Proposal of data pre-processing for purpose of analysis in accordance with the concept Industry 4.0. In ŠILHAVÝ, R. Artificial Intelligence Methods in Intelligent Algorithms. Cham: Springer Verlag, 2019, p. 324--331. ISBN 978-3-030-19809-1.
contributions in anthologies, chapters in monographs/textbooks, abstracts2019Details
12.Serial communication protocol with enhanced properties-securing communication layer for smart sensors applications
Dudák, Juraj -- Gašpar, Gabriel -- Šedivý, Štefan -- Fabo, Peter -- Pepucha, Ľubomír -- Tanuška, Pavol
Serial communication protocol with enhanced properties-securing communication layer for smart sensors applications. IEEE Sensors Journal, 19. p. 378--390.
articles in magazines2019Details
13.The didactic-technology challenges for design of the computer supported collaborative teaching
Svetský, Štefan -- Moravčík, Oliver -- Tanuška, Pavol -- Červeňanská, Zuzana
The didactic-technology challenges for design of the computer supported collaborative teaching. In AUER, M E. The Challenges of the Digital Transformation in Education. Basel: Springer Nature Switzerland AG, 2019, p. 46--57. ISBN 978-3-030-11935-5.
contributions in anthologies, chapters in monographs/textbooks, abstracts2019Details

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