2024

Laksis Dans, Tatarinovs Aleksejs, Freivalds Kārlis “Wavelet transform based decomposition of ultrasound signals for cortical bone model evaluation” EUSIPCO 2024 32nd EUROPEAN SIGNAL PROCESSING CONFERENCE, August 26-30, 2024. LYON, FRANCE. https://eurasip.org/Proceedings/Eusipco/Eusipco2024/pdfs/0001496.pdf ISBN: 978-9-4645-9361-7 Lasīt vairāk

Mamontovs M., Sisojevs A. and Tatarinov A. "Bone porosity and thickness evaluation by ultrasonic signals using Mamontovs M., Sisojevs A. and Tatarinov A. (2024). Bone porosity and thickness evaluation by ultrasonic signals using pattern recognition. In Proceedings of the International Conferences on Interfaces and Human Computer Interaction 2024, Game and Entertainment Technologies 2024 and Computer Graphics, Visualization, Computer Vision and Image Processing 2024 – Part of the 18th Multi Conference on Computer Science and Information Systems 2024, Budapest, Hungary, 13 – 15 July 2024, pp. 200 – 204. ISBN: 978-989-8704-58-0 Lasīt vairāk

Mironovs, V., Tatarinov, A., Abayev, A. and Zemchenkovs, V. (2024) Experimental system for investigating processes of shock freezing of meat. Agronomy Research, Vol. 22, Special Issue 1., pp. , 495–502, DOI: 10.15159/AR.24.038 (https://dspace.emu.ee/server/api/core/bitstreams/81cda952-d98a-4760-8a8d-053bb9fa496e/content )Lasīt vairāk

Chuchalina, M.; Sisojevs, A. and Tatarinov, A. (2024). Determination of Factors of Interest in Bone Models Based on Ultrasonic Data. In Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods – ICPRAM; ISBN 978-989-758-684-2; ISSN 2184-4313, SciTePress, pages 281-287. DOI: 10.5220/0012358500003654 (https://www.scitepress.org/PublicationsDetail.aspx?ID=z3HhxwvVLoI=&t=1)Lasīt vairāk

Niharika Panda, S. Muthuraman, Atis Elsts. 2024 ."Multi-Objective Optimization of Orchestra Scheduler for Traffic-Aware Networks" Smart Cities, 2024(7), pp.2542-2571. https://doi.org/10.3390/smartcities7050099Lasīt vairāk

Peteris Racinskis, Janis Arents, Modris Greitans. 2024 "Annotating SLAM data sets with Apriltag markers" 2024 10th International Conference on Automation, Robotics and Applications (ICARA), pp.438-442. https://doi.org/10.1109/ICARA60736.2024.10553010 Lasīt vairāk

Valērija Movčana, Arnis Strods, Karīna Narbute, Fēlikss Rūmnieks, Roberts Rimša, Gatis Mozoļevskis, Maksims Ivanovs, Roberts Kadiķis, Kārlis Gustavs Zviedris, Laura Leja, Anastasija Zujeva, Tamāra Laimiņa, Arturs Abols. "Organ-On-A-Chip (OOC) Image Dataset for Machine Learning and Tissue Model Evaluation" Data , 9(2), pp.28. https://doi.org/10.5281/zenodo.10203721Lasīt vairāk

Diāna Dupļevska, Romans Maļiks, Mindaugas Tamošiūnas, Mikus Melderis, Daira Viškere, Blaž Cugmas, Roberts Kadiķis, Ilze Matīse-van. 2024 "Interpreting microscopic structures in virtually stained histological sections for veterinary oncology applications" SPIE BiOS 2024, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XXII, 128310Lasīt vairāk

V. Aristov, M.Greitans. "Study of a Radar Sensor Transmitter to Optimize a Bipolar Ultrawideband Pulse Used to Excite the Antenna" Automatic Control and Computer Sciences, 58(6)Lasīt vairāk

Ibrahim Sayed, Andrejs Cvetkovs, Kaspars Ozols and Rihards Novickis. 2024. "Deviations Detection in Registered 3D Point Clouds" Baltic Electronics Conference 2024 (The 19th Biennial Conference on Electronics and Embedded Systems), doi=10.1109/BEC61458.2024.10737935Lasīt vairāk

Edgars Lielāmurs, Kaspars Ozols. "Spatio-temporal Object Detection with Deep Spiking CNNs Using Time-of-Flight Data" 2024 19th Biennial Baltic Electronics Conference (BEC) pp.1-6. ttps://www.researchgate.net/publication/385653033_Spatio-temporal_Object_Detection_with_Deep_Spiking_CNNs_Using_Time-of-Flight_Data, https://ieeexplore.ieee.org/abstract/document/10737976Lasīt vairāk

Kārlis Freivalds, Oskars Teikmanis, Laura Leja, Rodions Saltanovs, Ralfs Āboliņš, "Learning Fluid-Directed Rigid Body Control", "Machine Learning and the Physical Sciences" at NeurIPS 2024 Lasīt vairāk