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
Unintentional drifts in performance during one-hand and two-hand finger force production
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
Does step frequency as a single factor affect running economy? A systematic review
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
Technology Modules Providing Solutions for Agile Manufacturing
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
Gates Are Not What You Need in RNNs
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
Automated Vehicle Platform with Connected Driving Capabilities
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
Wetland Change Detection Using Sentinel-2 in the Part of Latvia
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
Semantic Segmentation Using U-Net Deep Learning Network for Quince Phenotyping on RGB and HyperSpectral Images
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
RaspberrySet: Dataset of Annotated Raspberry Images for Object Detection
Sarmīte Strautiņa, Ieva Kalniņa, Edīte Kaufmane, Kaspars Sudars, Ivars Namatēvs, Arturs Ņikuļins, Edgars Edelmers "RaspberrySet: Dataset of Annotated Raspberry Images for Object Detection", Multidisciplinary Digital Publishing Institute (2023) (pp. 5). https://www.mdpi.com/2306-5729/8/5/86.Read more
Development of an MCTS Model for Hydrogen Production Optimisation
Vitalijs Komasilovs, Aleksejs Zacepins, Armands Kviesis, Kaspars Ozols, Artūrs Ņikuļins, Kaspars Sudars “Development of an MCTS Model for Hydrogen Production Optimisation”, Processes (2023) (pp.16). https://www.mdpi.com/2227-9717/11/7/1977. Read more