1. The role of computerized laboratory exercises in development of key competencesAndrej Šorgo, Vida Lang, 2023, objavljeni znanstveni prispevek na konferenci Opis: Over the past 20 years, the first author and numerous collaborators have attempted to introduce computer-based laboratory exercises in science, particularly in biology classes. While working with secondary and post-secondary students, it was realised that it was possible to simultaneously develop cross-cutting competencies that bridged several key competences of the European framework of eight key competences for lifelong learning. These were (a) Collecting, analysing, and organising information; (b) Communication of ideas; (c) Planning and organising activities; (d) Working with others in teams; (e) The use of mathematical ideas and techniques; (f) Problem solving; and (g) The use of technology. When inquiry and problem-solving strategies are used, student achievement is much higher compared to explanatory and expository labs. Ključne besede: biology education, computer based laboratory, key competences, laboratory work, science education Objavljeno v DKUM: 25.09.2024; Ogledov: 0; Prenosov: 0 Povezava na datoteko |
2. Abstracts of the 10th Student Computing Research Symposium (SCORES’24)2024, zbornik Opis: The 2024 Student Computing Research Symposium (SCORES 2024), organized by the Faculty of Electrical Engineering and Computer Science at the University of Maribor (UM FERI) in collaboration with the University of Ljubljana and the University of Primorska, showcases innovative student research in computer science. This year’s symposium highlights advancements in fields such as artificial intelligence, data science, machine learning algorithms, computational problem-solving, and healthcare data analysis. The primary goal of SCORES 2024 is to provide a platform for students to present their research, fostering early engagement in academic inquiry. Beyond research presentations, the symposium seeks to create an environment where students from different institutions can meet, exchange ideas, and build lasting connections. It aims to cultivate friendships and future research collaborations among emerging scholars. Additionally, the conference offers an opportunity for students to interact with senior researchers from institutions beyond their own, promoting mentorship and broader academic networking. Ključne besede: student conference, computer and information science, artificial intelligence, data science, data mining Objavljeno v DKUM: 18.09.2024; Ogledov: 0; Prenosov: 17 Celotno besedilo (1,22 MB) Gradivo ima več datotek! Več... |
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4. International Exhibition by Artists – University Teachers, Maribor, Slovenia, October 4th-14th, 20242024 Opis: In the framework of the INTERNATIONAL SCIENTIFIC AND ART CONFERENCE: Rethinking childhood III - Teaching for an inclusive, technologically competent and sustainable society (2024) a catalog of the exhibition was published. The catalog features reproductions of artworks by artists employed at various higher education institutions in Slovenia and abroad. The accompanying text titled ART AND SCIENCE: PARALLEL LINES, PROPAGATION, INTERWEAVING (For the exhibition "Play of Perspectives, Strategies, and Decisions") was prepared by Mojca Puncer, PhD. Ključne besede: art and science, visual art, exhibition catalog, artworks, higher education teachers and collaborators Objavljeno v DKUM: 13.09.2024; Ogledov: 27; Prenosov: 0 Celotno besedilo (146,10 MB) Gradivo ima več datotek! Več... |
5. Digital twins in sport : concepts, taxonomies, challenges and practical potentialsTilen Hliš, Iztok Fister, Iztok Fister, 2024, pregledni znanstveni članek Opis: Digital twins belong to ten of the strategic technology trends according to the Gartner list from 2019, and have encountered a big expansion, especially with the introduction of Industry 4.0. Sport, on the other hand, has become a constant companion of the modern human suffering a lack of a healthy way of life. The application of digital twins in sport has brought dramatic changes not only in the domain of sport training, but also in managing athletes during competitions, searching for strategical solutions before and tactical solutions during the games by coaches. In this paper, the domain of digital twins in sport is reviewed based on papers which have emerged in this area. At first, the concept of a digital twin is discussed in general. Then, taxonomies of digital twins are appointed. According to these taxonomies, the collection of relevant papers is analyzed, and some real examples of digital twins are exposed. The review finishes with a discussion about how the digital twins affect changes in the modern sport disciplines, and what challenges and opportunities await the digital twins in the future. Ključne besede: artificial intelligence, digital twin, machine learning, optimization, sports, sport science Objavljeno v DKUM: 04.09.2024; Ogledov: 53; Prenosov: 6 Celotno besedilo (4,08 MB) |
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7. Geometric Shape Characterisation Based on a Multi-Sweeping ParadigmBorut Žalik, Damjan Strnad, David Podgorelec, Ivana Kolingerová, Andrej Nerat, Niko Lukač, Štefan Kohek, Luka Lukač, 2023, izvirni znanstveni članek Ključne besede: computer science, image analysis, computational geometry, local reflection symmetry Objavljeno v DKUM: 24.05.2024; Ogledov: 300; Prenosov: 11 Celotno besedilo (1,87 MB) Gradivo ima več datotek! Več... |
8. A new transformation technique for reducing information entropy : a case study on greyscale raster imagesBorut Žalik, Damjan Strnad, David Podgorelec, Ivana Kolingerová, Luka Lukač, Niko Lukač, Simon Kolmanič, Krista Rizman Žalik, Štefan Kohek, 2023, izvirni znanstveni članek Opis: This paper proposes a new string transformation technique called Move with Interleaving (MwI). Four possible ways of rearranging 2D raster images into 1D sequences of values are applied, including scan-line, left-right, strip-based, and Hilbert arrangements. Experiments on 32 benchmark greyscale raster images of various resolutions demonstrated that the proposed transformation reduces information entropy to a similar extent as the combination of the Burrows–Wheeler transform followed by the Move-To-Front or the Inversion Frequencies. The proposed transformation MwI yields the best result among all the considered transformations when the Hilbert arrangement is applied. Ključne besede: computer science, algorithm, string transformation, information entropy, Hilbert space filling curve Objavljeno v DKUM: 22.05.2024; Ogledov: 160; Prenosov: 8 Celotno besedilo (26,44 MB) Gradivo ima več datotek! Več... |
9. FLoCIC: A Few Lines of Code for Raster Image CompressionBorut Žalik, Damjan Strnad, Štefan Kohek, Ivana Kolingerová, Andrej Nerat, Niko Lukač, Bogdan Lipuš, Mitja Žalik, David Podgorelec, 2023, izvirni znanstveni članek Ključne besede: computer science, algorithm, prediction, interpolative coding, PNG, JPEG LS, JPEG 2000 lossless Objavljeno v DKUM: 22.05.2024; Ogledov: 165; Prenosov: 15 Celotno besedilo (10,78 MB) Gradivo ima več datotek! Več... |
10. Webinar: Data Management and EthicsMilan Ojsteršek, Matjaž Divjak, 2024, znanstveni film, znanstvena zvočna ali video publikacija Opis: Video recording and presentation slides of a lecture by Milan Ojsteršek and Matjaž Divjak for the HybridNeuro webinar "Data Management and Ethics", which was held online on April 8th 2024 at Faculty of Electrical Engineering and Computer Science, University of Maribor, Slovenia.
More info including additional materials (slides, example dataset): https://www.hybridneuro.feri.um.si/webinars/data_management_and_ethics.html
The HybridNeuro project combines the expertise of leading European partners in the field of Neural Interfaces to set up new pathways of analyzing human motor system and human movements and transfer the academic research into clinical and industrial practice. Link: https://www.hybridneuro.feri.um.si/
This project has received funding from the Horizon Europe Research and Innovation Programme under GA No. 101079392, as well as UK Research and Innovation organisation (GA No. 10052152).
This video is available under the Creative Commons Attribution 4.0 International licence (CC BY 4.0, https://creativecommons.org/licenses/by/4.0/). Ključne besede: HybridNeuro project, webinar, presentation, data management, data annotation, open science, open access, data repository, FAIR data, metadata Objavljeno v DKUM: 09.05.2024; Ogledov: 201; Prenosov: 5 Celotno besedilo (5,54 MB) Gradivo ima več datotek! Več... |