Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Vasyl Laver"'
Autor:
Yauhen Statsenko, Tetiana Habuza, Ekaterina Fursa, Anna Ponomareva, Taleb M. Almansoori, Fatmah Al Zahmi, Klaus Neidl-Van Gorkom, Vasyl Laver, Tatsiana Talako, Miklos Szolics, Alireza Dehdashtian, Jamal Al Koteesh, Milos Ljubisavljevic
Publikováno v:
IEEE Access, Vol 10, Pp 58268-58286 (2022)
Background: Recently, rapid fluctuations of ambient temperature were found to be associated with hospital admission for cardiovascular diseases in general and the ischemic stroke in particular. Objective: to test if climatic factors predict the incid
Externí odkaz:
https://doaj.org/article/f3f4c301b20f407a886e1f32817e0c77
Publikováno v:
Scientific Herald of Uzhhorod University. Series: History. :30-38
Пропонована публікація присвячена маловивченій, але актуальній темі – встановленню втрат закарпатців у роки Першої світової війни. Ак
Publikováno v:
Neuropsychology, development, and cognition. Section B, Aging, neuropsychology and cognition. 29(1)
This study aimed to: (1) propose a novel version of the Stroop switching test, namely the Stroop Switching Card Test (SSCT), to assess the overall efficiency of executive functions (EF) and its underlying cognitive processes (conflict resolution and
Autor:
Oleksandr Laver, Vasyl Laver
Publikováno v:
Науковий вісник Ужгородського університету. Серія: Історія; № 1 (42) (2020); 258-269
Scientific Herald of Uzhhorod University. Series: History; No. 1 (42) (2020); 258-269
Scientific Herald of Uzhhorod University. Series: History; No. 1 (42) (2020); 258-269
The proposed article deals with the examination of the statistics on the casualties of post-Soviet countries, which were a result of wars, ethnic conflicts and terrorist attacks during 2017 – 2019. Taking into account the losses during 1900 – 201
The Issue of Efficient Generation of Generalized Features in Algorithmic Classification Tree Methods
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030616557
DSMP
DSMP
The paper studies the basic issue of methods of constructing models of algorithmic classification trees which is the problem of generating generalized features in their structure. There has been suggested a simple and efficient method of approximatin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6ac62cf425f24d499dda1ea6a0cc51c
https://doi.org/10.1007/978-3-030-61656-4_6
https://doi.org/10.1007/978-3-030-61656-4_6
Autor:
Fatmah Al Zahmi, Anna Ponomareva, Klaus Gorkom, Koteesh, Vasyl Laver, Milos Ljubisavljevic, Taleb M. Almansoori, Darya Smetanina, Yauhen Statsenko, Miklos Szolics, Ekaterina Fursa, Gillian Simiyu, Nourah Altakarli, Mohamud Sheek-Hussein
Publikováno v:
Journal of the Neurological Sciences. 429:118732