Publications

D. Lapsa, R. Janeliukstis, A. Elsts. Adaptive Signal-to-Noise Ratio Indicator for Wearable Bioimpedance Monitoring. Sensors 2023, 23(20), 8532. https://doi.org/10.3390/s23208532Read more

V. Aristov, A. Elsts. Human Body as a Signal Transmission Medium for Body-Coupled Communication: Galvanic-Mode Models. Electronics 2023, 12(21), 4550. https://doi.org/10.3390/electronics12214550Read more

Mindaugas Tamošiūnas, Roberts Kadiķis, Mikus Melderis, Romāns Maļiks, Diāna Duplevska, Daira Viškere, Ilze Matīse-van Houtana, Blaž Cugmas. 2023. "Wide-field Raman spectral band imaging of tumor lesions in veterinary medicine" Translational Biophotonics: Diagnostics and Therapeutics III, 12627: pp. 295-302. https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12627/1262737/Wide-field-Raman-spectral-band-imaging-of-tumor-lesions-in/10.1117/12.2686917.shortRead more

Martins Pukitis, Ints Mednieks. "Classification of satellite images using Dynland technology" Proc. SPIE 12786, Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023), 127860E (21 September 2023); https://doi.org/10.1117/12.2681896 Read more

Kārlis Freivalds, Emīls Ozoliņš, Guntis Bārzdiņš. "Discrete Denoising Diffusion Approach to Integer Factorization" Proceedings of 32nd International Conference on Artificial Neural Networks 2023 , Lecture Notes in Computer Science (LNCS, volume 14254) Part I, pp. 123-134 Read more

Valters Abolins, Juris Ormanis, Mark Latash. (2023). Unintentional drifts in performance during one-hand and two-hand finger force production. Experimental Brain Research, Springer Nature, 241(3), 699-712. https://rdcu.be/c32PKRead more

Edgars Bernans, Valters Abolins, Janis Lanka. Does step frequency as a single factor affect running economy? A systematic review. Journal of Human Sport and Exercise, Universidad de Alicante. Área de Educación Física y Deporte, 18(3), p. 743-754. https://doi.org/10.14198/jhse.2023.183.20Read more

Miha Deniša, Aleš Ude, Mihael Simoniˇc, Tero Kaarlela, Tomi Pitkäaho, Sakari Pieskä, Janis Arents, Janis Judvaitis, Kaspars Ozols, Levente Raj, András Czmerk, Morteza Dianatfar, Jyrki Latokartano, Patrick Alexander Schmidt, Anton Mauersberger, Adrian Singer, Halldor Arnarson, Beibei Shu, Dimosthenis Dimosthenopoulos, Panagiotis Karagiannis, Teemu-Pekka Ahonen, Veikko Valjus and Minna Lanz. 2023. "Technology Modules Providing Solutions for Agile Manufacturing" Machines 23, 11 (9): pp. 877, https://doi.org/10.3390/machines11090877Read more

Zakovskis, R., Draguns, A., Gaile, E., Ozolins, E., Freivalds, K. (2023). Gates Are Not What You Need in RNNs. In: Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2023. Lecture Notes in Computer Science(), vol 14125. Springer, Cham. https://doi.org/10.1007/978-3-031-42505-9_27Read more

Oskars Teikmanis, Aleksandrs Levinskis, Andris Ivars Mackus, Artis Rušiņš, Amr Elkenawy, Marta Tropa, Modris Greitans. 2023. "Automated Vehicle Platform with Connected Driving Capabilities 2023 IEEE International Conference on Intelligent Transportation Systems (ITSC)" Read more

Andris Skromulis, Juris Breidaks, Mārtiņš Puķītis. 2023. "Wetland Change Detection Using Sentinel-2 in the Part of Latvia" Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference. https://doi.org/10.17770/etr2023vol1.7305Read more

Kaspars Sudars, Ivars Namatevs, Arturs Nikulins, Rihards Balass, Astile Peter, Sarmite Strautina, Edite Kaufmane, Ieva Kalnina "Semantic Segmentation Using U-Net Deep Learning Network for Quince Phenotyping on RGB and HyperSpectral Images", 27th International Conference "Electronics" (2023). https://ieeexplore.ieee.org/document/10177638.Read more