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Integrated circuit of clocked comparator for ultra-wideband radar
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Ultra-Wideband Pulse Radar Mounted on an Unmanned Aerial Vehicle for the Monitoring of Moving Objects
V.Aristov, E.Lobonovs, R.Maliks, M.Celitans, J.Simanovichs, S.Bondars, R.Gailis. Ultra-Wideband Pulse Radar Mounted on an Unmanned Aerial Vehicle for the Monitoring of Moving Objects. Automatic Control and Computer Sciences, 55(4), 1 July 2021, pp. 396-405.Lasīt vairāk
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Norbert Druml; Anna Ryabokon; Rupert Schorn; Jochen Koszescha; Kaspars Ozols; Aleksandrs Levinskis; Rihards Novickis; "Programmable Systems for Intelligence in Automobiles (PRYSTINE): Final results after Year 3"; 2021 24th Euromicro Conference on Digital System Design (DSD); 1-3 Sept. 2021; DOI: 10.1109/DSD53832.2021.00049Lasīt vairāk
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Pushing Mechatronic Applications to the Limits via Smart Motion Control
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Demo: Large Scale Wireless Network Simulations with TSCH-Sim
Atis Elsts. Demo: Large Scale Wireless Network Simulations with TSCH-Sim. EWSN '21: Proceedings of the 2021 International Conference on Embedded Wireless Systems and NetworksFebruary 2021 Pages 181–182Lasīt vairāk
Hand-Washing Video Dataset Annotated According to the World Health Organization’s Hand-Washing Guidelines
Lulla M., Rutkovskis A., Slavinska A., Vilde A., Gromova A., Ivanovs M., Skadins A., Kadikis R., Elsts A. Hand-Washing Video Dataset Annotated According to the World Health Organization’s Hand-Washing Guidelines. Data. 2021; 6(4):38. https://doi.org/10.3390/data6040038 Lasīt vairāk
Ultra-Wideband Pulse Radar with Discrete Stroboscopic Receiver for Detection of Small Targets Behind Dielectric Obstacles
V.Aristovs, G.Gaigals, G.Supols, E.Lobanovs, V.Riekstins, V.Zujs. 23 Apr 2021. "Ultra-Wideband Pulse Radar with Discrete Stroboscopic Receiver for Detection of Small Targets Behind Dielectric Obstacles", Transport and Telecommunication Journal, Volume 22, no. 2, pp.196-206, DOI: https://doi.org/10.2478/ttj-2021-0015Lasīt vairāk
Perturbation-based methods for explaining deep neural networks: A survey
Maksims Ivanovs, Roberts Kadiķis, Kaspars Ozols. 2021. “Perturbation-based methods for explaining deep neural networks: A survey” Elsevier B.V., https://doi.org/10.1016/j.patrec.2021.06.030Lasīt vairāk