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Using machine learning to determine the positions of professional soccer players in terms of biomechanical variables

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Using machine learning to determine the positions of professional soccer players in terms of biomechanical variables

01 Ocak 2023 Makale Özgün Makale Google Scholar
Authors
DOÇENT MEHMET GÜLÜ

Atıf kopyala

D. M. GÜLÜ (2023). Using machine learning to determine the positions of professional soccer players in terms of biomechanical variables. *Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology*, 239(4), 1–8. https://doi.org/10.1177/17543371231199814

Yayın bilgileri

Dergi Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology
DOI 10.1177/17543371231199814
Veri tabanı SCI-Expanded; Google Scholar; Scopus
Cilt / Sayı 239 / 4
Sayfa 1 – 8
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Atıf verisi 14 Kasım 2026 tarihinde güncellendi.

Dergi: Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology | Yıl: 2023 | Cilt/Sayı: 239/4 | Sayfa: 1-8 | DOI: 10.1177/17543371231199814 | Yazarlar: YAĞIN FATMA HİLAL, Hasan Uday CH, Clemente Filipe Manuel, EKEN ÖZGÜR, Badicu Georgian, GÜLÜ MEHMET

Citations by source

Kaynak Atıf
Google Scholar 7
Scopus 5
Etkin 0

Yayın metrikleri (GS / WoS / Scopus)

7 Google Scholar Atıf
5 Scopus Atıf
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