Prediction of soccer clubs' league rankings by machine learning methods: The case of Turkish Super League

Abdullah Erdal TÜMER

The aim of this research is to predict league rankings through various machine learning models using technical and physical parameters. This study followed a longitudinal observational analytical design. The SENTIO Sports optical tracking system was used to measure the physical demands and technical practices of the players in all matches. Then, the data regarding the last three seasons of the Turkish Super League (2015-2016, 2016-2017, and 2017-2018), was collected. In this research, league rankings were estimated using three machine learning methods: Artificial Neural Networks (ANN), Radial ...Более

Статья 2022 Meslek Yüksekokulu Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology ( Published online: 17 December 2022 ) 48 Просмотры

Of Silica Gel-Glasses on the 4 I 13/2 → 4 I 15/2 Luminescence Bandwidth of Er3 Ions

Zamirgül KAZAKBAYEVA

The luminescence of Er3 ions in silica glasses synthesized by the direct sol–gel–glass transition method and by melting of activated gel grit using various precursors of optical centers was studied. The formation of complex centers including erbium, aluminum, and alkali metal ions was found to be one way of essentially increasing the half-width of the 4 I 13/2 → 4 I 15/2 luminescence band of these ions. Keyword: complex optical centers; luminescence; rare earth ions; sol–gel method

Статья 2023 Meslek Yüksekokulu Journal of Applied Spectroscopy90 ( 5 ) 18 Просмотры

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Prediction of soccer clubs' league rankings by machine learning methods: The case of Turkish Super League

Abdullah Erdal TÜMER

Of Silica Gel-Glasses on the 4 I 13/2 → 4 I 15/2 Luminescence Bandwidth of Er3 Ions

Zamirgül KAZAKBAYEVA