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Email:
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miroslav.opiela@upjs.sk | |
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Homepage:
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https://www.upjs.sk/PF/zamestnanec/miroslav.opiela | |
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Faculty:
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PF UPJŠ
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Pavol Jozef Šafárik University in Košice, Faculty of Science
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Department:
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ÚINF
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Institute of Computer Science
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Office:
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SJ0O17 | |
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Phone:
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+421 55 234 2433 | |
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ORCID ID:
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0000-0001-8802-4442 |
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Overview of the responsibility for
the delivery, development and quality assurance of the study programme or its part
at the university in the current academic year
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Study programme: Applied informatics, study field: Computer Science, I. degree
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Study programme: Applied informatics, study field: Computer Science, II. degree
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Profile courses
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ÚINF/PAZ1b/15 - Programming, algorithms, and complexity - Informatics, Applied Informatics, Joint degree study of Informatics and other subject, I. degree
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ÚINF/ANO/15 - Image analysis - Data Science and Artificial Intelligence (ADUIb), Applied Informatics (AIm), Informatics
(Im), I.+II. degree
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Selected publications
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Opiela, Miroslav, and František Galčík. "Grid-Based Bayesian Filtering Methods for Pedestrian Dead Reckoning Indoor Positioning Using Smartphones." Sensors 20.18 (2020): 5343. |
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Potorti, Francesco, et al. "Off-line Evaluation of Indoor Positioning Systems in Different Scenarios: The Experiences from IPIN 2020 Competition." IEEE Sensors Journal (2021). |
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Potorti, Francesco, et al. "The IPIN 2019 indoor localisation competition—Description and results." IEEE access 8 (2020): 206674-206718. |
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Opiela, M., Stedlová, V. M., Horvát, S., Antoni, L., & Hajduková, L. (2023). Building Parts Classification using Neural Network. In IPIN-WiP. |
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Opiela, M. (2025). Doors as Visual Landmarks for Indoor Positioning. |
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Selected projects
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VEGA 1/0177/21 |
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VEGA 1/0056/18 |
