Current challenges in operation, performance, and maintenance of photovoltaic panelsOrosz, Tamas; Rassõlkin, Anton; Arsenio, Pedro; Poor, Peter; Valme, Daniil; Sleisz, AdamEnergies2024 / art. 1306 https://doi.org/10.3390/en17061306

Curricula updates through students' participation in international competitionValme, Daniil; Belolipetskaja, Diana; Rassõlkin, Anton; Leoste, Janika; Rüütmann, Tiia15th International Conference on Robotics in Education (RiE 2024)2024 / p. 352 - 364 https://doi.org/10.1007/978-3-031-67059-6_31

Development of the reconfigurable continuous track robotValme, Daniil21st International Symposium "Topical problems in the field of electrical and power engineering. Doctoral school of energy and geotechnology. III" : Pärnu, Estonia, June 15-18, 20222022 / p. 15-16 : ill https://www.ester.ee/record=b5504019*est

Generative design in weight optimization of reconfigurable continuous track robotValme, Daniil; Kudelina, Karolina; Belolipetskaja, Diana; Rassõlkin, Anton; Vaimann, Toomas; Kallaste, Ants2021 28th International Workshop on Electric Drives : Improving Reliability of Electric Drives (IWED)2021 / 6 p https://doi.org/10.1109/IWED52055.2021.9376329

Hyperspectral imaging for vehicle traction effort prediction: ISEAUTO case studyValme, Daniil; Rassõlkin, Anton; Liyanage, Dhanushka Chamara2023 IEEE 17th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG)2023 / 5 p https://doi.org/10.1109/CPE-POWERENG58103.2023.10227463

Intelligent traction control for electric vechicles using hyperspectral imagingValme, Daniil22nd International Symposium “Topical Problems in the Field of Electrical and Power Engineering”. Doctoral School of Energy and Geotechnology III : Pärnu, Estonia, August 23-26, 20232023 / p. 15-16 : ill https://www.ester.ee/record=b5570906*est

Preliminary sensors selection for reconfigurable continuous track robot obstacle detectionValme, Daniil; Kudelina, Karolina; Rassõlkin, Anton2021 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream): proceedings of the conference, April 22, 2021, Vilnius, Lithuania2021 / 5 p. : ill https://doi.org/10.1109/eStream53087.2021.9431394

Road condition estimation using deep learning with hyperspectral images : detection of water and snowValme, Daniil; Galindos, Javier; Chamara Liyanage, Dhanushka; Chamara Liyanage, DhanushkaProceedings of the Estonian Academy of Sciences2024 / p. 77-91 https://doi.org/10.3176/proc.2024.1.09