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Erik Rot Weiss
Personal bibliography for the period 2021-2025
2021
1.
ROT WEISS, Erik. Trdnostna analiza in preračun dobe trajanja udarne igle v pištoli AREX DELTA : diplomsko
delo. Maribor: [E. Rot Weiss], 2021. X, 30 f., ilustr. Digital Library of the University of Maribor – DLUM. [COBISS.SI-ID 86496259]
2023
2.
ROT WEISS, Erik. Načrtovanje in implementacija optimizacijskega algoritma rojev delcev za lokalizacijo
mobilnega robota pepper : magistrsko delo. Maribor: [E. Rot Weiss], 2023. 1 spletni vir (1 datoteka PDF (IX, 65 f.)), ilustr.
Digital Library of the University of Maribor – DLUM. [COBISS.SI-ID 168840195]
2025
3.
ROT WEISS, Erik, GSELMAN, Robert, POLNER, Rudi, ŠAFARIČ, Riko. Cascade hydropower
plant operational dispatch control using deep reinforcement learning on a digital
twin environment. Energies. 2025, vol. 18, issue 17, [article no.] 4660, 30 str., ilustr. ISSN 1996-1073. Digital Library of the University of Maribor – DLUM, DOI: 10.3390/en18174660. [COBISS.SI-ID 253594627]
project: This research was conducted using internal resources of HSE Invest d.o.o.
project: This research was conducted using internal resources of HSE Invest d.o.o.
4.
BRATINA, Božidar, FISTER, Dušan, URAN, Suzana, MLAKAR, Izidor, ROT WEISS, Erik, KOREZ,
Kristijan, ŠAFARIČ, Riko. Mobile robot localization based on the PSO algorithm with
local minima avoiding the fitness function. Sensors. 2025, vol. 25, iss. 20, [article no.] 6283, 28 str., ilustr. ISSN 1424-8220. Digital Library of the University of Maribor – DLUM, DOI: 10.3390/s25206283. [COBISS.SI-ID 253582339]
project: The study was carried out under the Horizon H2020-funded project HosmartAI (Grant no. 101016834) and the Slovenian Research Agency (ARIS) research and infrastructure programme (Grant nos. P2-0069 and P2-0028). The funding source had no impact on the decision to carry out the study or in its design. The funding source had no impact on the decision to publish this research. The content of this paper does not reflect the official opinion of the European Union or any other institution. Responsibility for the information and views expressed therein lies entirely with the authors. The APC was funded by ARIS Grant no. P2-0028.
project: The study was carried out under the Horizon H2020-funded project HosmartAI (Grant no. 101016834) and the Slovenian Research Agency (ARIS) research and infrastructure programme (Grant nos. P2-0069 and P2-0028). The funding source had no impact on the decision to carry out the study or in its design. The funding source had no impact on the decision to publish this research. The content of this paper does not reflect the official opinion of the European Union or any other institution. Responsibility for the information and views expressed therein lies entirely with the authors. The APC was funded by ARIS Grant no. P2-0028.