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Autor:
Riabov, Ievgen1 overanova@ukr.net, Kondratieva, Liliia1, Overianova, Liliia1, Goolak, Sergiy2
Publikováno v:
Transbaltica: Proceedings of the International Scientific Conference. 2022, Vol. 13, p677-688. 12p.
Publikováno v:
In Simulation Modelling Practice and Theory January 2020 98
Autor:
Huber, Martin, Oeß, Eva-Maria
This paper introduces an overidentification test of two alternative assumptions to identify the average treatment effect on the treated in a two-period panel data setting: unconfoundedness and common trends. Under the unconfoundedness assumption, tre
Externí odkaz:
http://arxiv.org/abs/2404.16961
Autor:
Aygör, Nilgün, Burhanzade, Hülya
Publikováno v:
In Procedia - Social and Behavioral Sciences 9 July 2014 136:360-369
Autor:
Kong, Deshi1 (AUTHOR) d-kong-7m1@eagle.sophia.ac.jp, Miyatake, Masafumi2 (AUTHOR) miyatake@sophia.ac.jp
Publikováno v:
Energies (19961073). Mar2024, Vol. 17 Issue 6, p1426. 18p.
Autor:
Saad Ahmad, Mariam Saeed, Juan Manuel Guerrero, Iker Muniategui-Aspiazu, Guillermo Nunez, Igor Larrazabal, Fernando Briz
Publikováno v:
IEEE Open Journal of Industry Applications, Vol 6, Pp 1-14 (2025)
Due to the rapid development of power electronics and energy storage technologies, the trend toward electrified railway systems with onboard energy storage systems (OESS) is being followed by main train manufactures. In such systems, the control of t
Externí odkaz:
https://doaj.org/article/1f77c15bf96d43c590df0e55b3864712
Autor:
Ageenkov, Alexander D.1,2 (AUTHOR) ageenkov.a.d@muctr.ru, Bredov, Nikolay S.2,3 (AUTHOR) tupikov.a.s@muctr.ru, Shcherbina, Anna A.4,5 (AUTHOR) khasbiullin@techno-poisk.ru, Khasbiullin, Ramil R.5 (AUTHOR), Tupikov, Anton S.2,3 (AUTHOR), Soldatov, Mikhail A.1 (AUTHOR) soldat89.89@gmail.com
Publikováno v:
Polymers (20734360). Oct2024, Vol. 16 Issue 20, p2951. 16p.
Publikováno v:
Arhivska praksa / Archival practice. (16):260-265
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=410727
Publikováno v:
Land Degradation & Development. 30:1095-1106
The previous inventory datasets of mass movement typically include large‐sized mass movements (e.g., landslides), whereas small ones are often missing due to either being too small to be interpreted from remote sensing images or too time‐consumin