Time-Series Forecasting of Seasonal Data Using Machine Learning Methods.

Autor: Kramar, Vadim¹ (AUTHOR) kramarv@mail.ru, Alchakov, Vasiliy¹ (AUTHOR)

Publikováno v: Algorithms. May2023, Vol. 16 Issue 5, p248. 16p.

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Cooperative Control of Underwater Vehicle–Manipulator Systems Based on the SDC Method.

Autor: Kabanov, Aleksey¹ (AUTHOR) kabanov@sevsu.ru, Kramar, Vadim¹ (AUTHOR), Lipko, Ivan¹ (AUTHOR), Dementiev, Kirill¹ (AUTHOR)

Publikováno v: Sensors (14248220). Jul2022, Vol. 22 Issue 13, p5038-N.PAG. 19p.

Using a Semi-autonomous Drone Swarm to Support Wildfire Management – A Concept of Operations Development Study

Autor: Karvonen, Hannu, Honkavaara, Eija, Röning, Juha, Kramar, Vadim, Sassi, Jukka

Publikováno v: Karvonen, H, Honkavaara, E, Röning, J, Kramar, V & Sassi, J 2023, Using a Semi-autonomous Drone Swarm to Support Wildfire Management – A Concept of Operations Development Study . in D Harris & W-C Li (eds), Engineering Psychology and Cognitive Ergonomics : 20th International Conference, EPCE 2023 Held as Part of the 25th HCI International Conference, HCII 2023 Copenhagen, Denmark, July 23–28, 2023 Proceedings, Part II . Springer, Cham, Lecture Notes in Computer Science, vol. 14018, pp. 235-253, 20th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2023, held as part of HCI International 2023, Copenhagen, Denmark, 23/07/23 . https://doi.org/10.1007/978-3-031-35389-5_17

This paper provides insights into a human factors-oriented Concept of Operations (ConOps), which can be applied for future semi-autonomous drone swarms to support the management of wildfires. The results provide, firstly, an overview of the current p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=355e65625b88::8dd2339446ba87bd68b66a4ffb5834ad
https://cris.vtt.fi/ws/files/84567863/Camera-ready_version_-_HCII2023_ConOps_paper.pdf

MATHEMATICAL MODEL OF A CONTINUOUS-DISCRETE GUIDANCE SYSTEM FOR A ROBOT MANIPULATOR.

Autor: Kramar, Vadim

Publikováno v: Annals of DAAAM & Proceedings. 2019, Vol. 30, p0095-0099. 5p.