Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Serhii Shapoval"'
Publikováno v:
Applied Sciences, Vol 11, Iss 8, p 3502 (2021)
This article proposes an example of a multiplatform interactive serious game, which is an additional tool and assistant used in the rehabilitation of patients with musculoskeletal system problems. In medicine, any actions and procedures aimed at help
Externí odkaz:
https://doaj.org/article/ba1b07faf8dd4845ae8c8a51f15b046c
Autor:
Serhii Shapoval, Larysa Vasylevska
Publikováno v:
Archive of Clinical Medicine; Vol. 28 No. 1 (2022); 57-60
Архів клінічної медицини; Том 28 № 1 (2022); 57-60
Архів клінічної медицини; Том 28 № 1 (2022); 57-60
Goal. Find out the cause of unsatisfactory treatment outcomes in patients with destructive forms of erysipelas in the general population. Materials and methods. Retrospectively and prospectively analyzed 284 case histories of patients who were hospit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47ad866b6f2a2d5ec33bc25d5d1d23e0
https://ifnmujournal.com/acm/article/view/acm2022110
https://ifnmujournal.com/acm/article/view/acm2022110
Publikováno v:
Applied Sciences, Vol 11, Iss 3502, p 3502 (2021)
Applied Sciences
Volume 11
Issue 8
Applied Sciences
Volume 11
Issue 8
This article proposes an example of a multiplatform interactive serious game, which is an additional tool and assistant used in the rehabilitation of patients with musculoskeletal system problems. In medicine, any actions and procedures aimed at help
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95dd4b4b95c5d2a75cd601024b96a1c9
https://www.mdpi.com/2076-3417/11/8/3502
https://www.mdpi.com/2076-3417/11/8/3502
Publikováno v:
ISSPIT
This paper presents a computer game with automatic body detection and tracking based on the computer camera acquisition for arms and legs rehabilitation. However, with the correct application of different functions and game mechanics, this entertainm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::666a22da6e96197c663d7411b3d08822
https://doi.org/10.1109/isspit51521.2020.9408980
https://doi.org/10.1109/isspit51521.2020.9408980
Publikováno v:
ISSPIT
This paper presents a comparably simpler yet effective deep learning approach for sentiment analysis of Twitter topics. We automatically collected positive and negative tweets and labeled them manually, and thus created a new dataset. We then leverag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ad3174dac7e187fee60603143519175
https://doi.org/10.1109/isspit51521.2020.9408866
https://doi.org/10.1109/isspit51521.2020.9408866