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.Lasīt vairāk
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.Lasīt vairāk
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. Lasīt vairāk
Supplementation of synthetic object replicas for increasing precision of microrobot trajectory keypoints
M. Laizans, J. Arents, O. Vismanis, V. Bučinskas, A. Dzedzickis, and M. Greitans. 2023. "Supplementation of synthetic object replicas for increasing precision of microrobot trajectory keypoints" Robotic Systems and Applications, 3(1): pp47-58. https://www.extrica.com/article/23128Lasīt vairāk
Robotic System for Post Office Package Handling
Oskars Vismanis, Janis Arents, Karlis Freivalds, Vaibhav Ahluwalia and Kaspars Ozols. 2023. "Robotic System for Post Office Package Handling" Applied Sciences 13(13 - Number) 7643 (Article Number), https://www.mdpi.com/2076-3417/13/13/7643Lasīt vairāk
Constructing Maps for Autonomous Robotics: An Introductory Conceptual Overview
Peteris Racinskis, Janis Arents, Modris Greitans. "Constructing Maps for Autonomous Robotics: An Introductory Conceptual Overview, 2023" Electronics 12(13): pp2925, https://www.mdpi.com/2079-9292/12/13/2925Lasīt vairāk
Synthetic Data Generation for Visual Detection of Flattened PET Bottles
Vitalijs Fescenko, Janis Arents and Roberts Kadikis. 2023. "Synthetic Data Generation for Visual Detection of Flattened PET Bottles" Machine Learning and Knowledge Extraction 5(1), pp14-28. https://www.mdpi.com/2504-4990/5/1/2Lasīt vairāk
(POSTER) Drone Detection and Localization using Low-Cost Microphone Arrays and Convolutional Neural Networks
Peteris Racinskis, Janis Arents, Modris Greitans. 2023. (POSTER) Drone Detection and Localization using Low-Cost Microphone Arrays and Convolutional Neural Networks, 2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), pp.80-82. Lasīt vairāk
Testbed Facilities for IoT and Wireless Sensor Networks: A Systematic Review
Janis Judvaitis, Valters Abolins, Amr Elkenawy, Rihards Balass, Leo Selavo, Kaspars Ozols, 2023. "Testbed Facilities for IoT and Wireless Sensor Networks: A Systematic Review" ,J. Sens. Actuator Netw 2023, 12(3), 48. https://www.mdpi.com/2224-2708/12/3/48Lasīt vairāk
WearSec: Towards Automated Security Evaluation of Wireless Wearable Devices
Bernhards Blumbergs, Ēriks Dobelis, Pēteris Paikens, Krišjānis Nesenbergs, Kirils Solovjovs and Artis Rušiņš. 2022. WearSec: Towards Automated Security Evaluation of Wireless Wearable Devices. 27th Nordic Conference on Secure IT Systems, NordSec 2022.Lasīt vairāk
Methods for Explaining CNN-Based BCI: A Survey of Recent Application
Maksims Ivanovs; Beate Banga; Valters Abolins; Krisjanis Nesenbergs. 2022. Methods for Explaining CNN-Based BCI: A Survey of Recent Application. 2022 IEEE 16th International Scientific Conference on Informatics (Informatics)Lasīt vairāk
Non-Destructive Quality Control of the Adhesive Rigid Timber-to-Concrete Connection in TCC Structures
Buka-Vaivade K, Gaile L, Serdjuks D, Tatarinovs A, Pakrastins L. 2022. Non-Destructive Quality Control of the Adhesive Rigid Timber-to-Concrete Connection in TCC Structures. Buildings, MDPI.Lasīt vairāk