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Exhibition and Special Discussion Section on Information and Digital Technologies, Zilina, Slovakia, 25 to 27 June 2019


In 2019, the University of Zilina, Faculty of Management Sciences and Informatics, was the coordinator of the project “Exhibition and Special Discussion Section on Information and Digital Technologies” supported by the International Visegrad Fund (project no. 21830315). Several Universities from countries belonging to the Visegrad Group were the partners of this project: University of Rzeszow (Poland), VSB – Technical University of Ostrava (Czech Republic), University of Debrecen (Hungary), University of Defence in Brno (Czech Republic) and Pavol Jozef Safarik University in Kosice (Slovakia). One of the goals of this project was to organize the special discussion section and exhibition (Industrial Centre) during the International Conference on Information and Digital Technologies (IDT 2019) held in Zilina, Slovakia, from 25 to 27 June 2019. The Industrial Centre was focused on a wide range of applications of computerized systems. Topics of interest included but were not limited to: (a) Digital signal processing; (b) Communication and control systems and networks; (c) Measurement systems and instrumentations; (d) Hardware and software solutions; (e) Medical Image Analysis; (f) Computer-Aided Diagnosis; (g) Telemedicine, Telehealth; (h) Testing and fault-tolerant systems; (i) Risk and hazard analysis; (j) Education, e-learning etc. More than 10 companies from Slovakia, Hungary, Poland, Russia, and Belgium had significant space for their own presentations. The University of Rzeszow was represented by researchers from the Department of Computer Science: Krzysztof Pancerz, Wieslaw Paja and Jaroslaw Szkola. At the IDT conference, they presented scientific papers entitled: Experiments with Recognition of Melody Similarities Based on Human Independent Parameters (authors: T. Grebski, K. Pancerz, P. Kulicki), Pattern Recognition in Sequences Using Multistate Sequence Autoencoding Neural Networks (authors: J. Szkola, K.Pancerz), and Generational Feature Selection using Random Forest Approach (author: W.Paja).

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