Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Ciril, Bohak"'
Publikováno v:
IEEE Access, Vol 11, Pp 86910-86944 (2023)
Cybersecurity research demands continuous monitoring of the dynamic threat landscape to detect novel attacks. Researchers and security professionals often deploy honeypot networks to intercept and examine real attack data. However, due to the volume
Externí odkaz:
https://doaj.org/article/8dfc4752fbab45f6922f00ddf7c8171f
Publikováno v:
IEEE Access, Vol 8, Pp 15347-15359 (2020)
Unmanned aerial vehicles and battleships are equipped with the infrared search and tracking (IRST) systems for its mission to search and detect targets even in low visibility environments. However, infrared sensors are easily affected by diverse type
Externí odkaz:
https://doaj.org/article/2df1b88bfadb4eb0a79a2d62b94e4d59
Autor:
Luka Komidar, Anja Podlesek, Tina Pirc, Sonja Pečjak, Katja Depolli Steiner, Melita Puklek Levpušček, Alenka Gril, Bojana Boh Podgornik, Aleš Hladnik, Alenka Kavčič, Ciril Bohak, Žiga Lesar, Matija Marolt, Matevž Pesek, Cirila Peklaj
Publikováno v:
Frontiers in Psychology, Vol 12 (2022)
The importance of self-regulated learning (SRL) has increased during the COVID-19 pandemic and measures for assessing students’ self-regulation skills and knowledge are greatly needed. We present the results of the first thorough adaptation of the
Externí odkaz:
https://doaj.org/article/82e9dcac2c484b8a93cb11dfc2c6e8ef
Publikováno v:
Sensors, Vol 23, Iss 1, p 72 (2022)
Most real-time terrain point cloud rendering techniques do not address the empty space between the points but rather try to minimize it by changing the way the points are rendered by either rendering them bigger or with more appropriate shapes such a
Externí odkaz:
https://doaj.org/article/174e0a4d5f5242c48e311fa6c6e52637
Publikováno v:
Geodetski Vestnik, Vol 60, Iss 4, Pp 615-626 (2016)
In this paper, a system for rendering voxel (3D pixel)-based worlds is presented. The system enables the generation of such worlds from LiDAR and orthophoto data by discretizing LiDAR data with a resolution of 1 m. In world generation, the embedded b
Externí odkaz:
https://doaj.org/article/a92428c8eafe48ae967cabeecd626cb3
Autor:
Julio Rey Ramirez, Peter Rautek, Ciril Bohak, Ondrej Strnad, Zheyuan Zhang, Sai Li, Ivan Viola, Wolfgang Heidrich
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. :1-15
Publikováno v:
Sensors, Vol 20, Iss 7, p 2089 (2020)
Direct point-cloud visualisation is a common approach for visualising large datasets of aerial terrain LiDAR scans. However, because of the limitations of the acquisition technique, such visualisations often lack the desired visual appeal and quality
Externí odkaz:
https://doaj.org/article/7aadabd12d134de396ed131f61fadf24
Autor:
Žiga Lesar, Ruwayda Alharbi, Ciril Bohak, Ondřej Strnad, Christoph Heinzl, Matija Marolt, Ivan Viola
We present a novel smart visibility system for visualizing crowded volumetric data containing many object instances. The presented approach allows users to form groups of objects through membership predicates and to individually control the visibilit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0434011f9c6a0c5c88370fdce085034
http://arxiv.org/abs/2206.07392
http://arxiv.org/abs/2206.07392
Publikováno v:
Applied Sciences, Vol 9, Iss 3, p 439 (2019)
The article presents a method for segmentation of ethnomusicological field recordings. Field recordings are integral documents of folk music performances captured in the field, and typically contain performances, intertwined with interviews and comme
Externí odkaz:
https://doaj.org/article/739a7c72e5c040cc9f951dadca2880bc
Autor:
Alenka Kavčič, Anja Podlesek, Luka Komidar, Aleš Hladnik, Bojana Boh Podgornik, Ciril Bohak, Katja Depolli Steiner, Alenka Gril, Žiga Lesar, Matija Marolt, Sonja Pečjak, Matevž Pesek, Tina Pirc, Melita Puklek Levpušček, Cirila Peklaj
Publikováno v:
Sustainability; Volume 14; Issue 9; Pages: 5686
Sustainability, vol. 14, no. 9, pp. 1-19, 2022.
Sustainability, vol. 14, no. 9, pp. 1-19, 2022.
Self-regulated learning (SRL) plays an important role in successful learning with hypertexts. The use of appropriate SRL strategies helps students acquire new knowledge more efficiently. We investigated the use of SRL strategies in individual learnin