Abdullah Erdal TÜMER
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Status	Çalışmıyor
Academic degree	Doç. Dr.
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Prediction of soccer clubs' league rankings by machine learning methods: The case of Turkish Super League

Abdullah Erdal TÜMERThe 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 ...More Article2022Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and TechnologySage Publications48 Views

Deep Learning Method for Handwriting Recognition

Abdullah Erdal TÜMERThe advancement of technology nowadays resulted into documents, such as forms and petitions, being filled out in computer and digital environment. Yet in some cases, documents are still preserved in traditional style, on print. Due to its distinct proportions, however, its storage, sharing and filing has become a complication. The relocation of these written documents to digital environment is therefore of great significance. In this view, this study aims to explore methodologies of digitizing handwritten documents. In this study, the documents ...More Article2021MANAS Journal of Engineering (MJEN)Kyrgyz - Turkish Manas University110 Views

Real time traffic signal timing approach based on artificial neural network

Abdullah Erdal TÜMERAs the population increases, is more and more increasing the number of vehicles in cities. The increasing number of vehicle make traffic management complicated. Difficult traffic management leads to more fuel consumption, CO2 and other harmful emissions. Therefore, real-time optimization of traffic lights (signaling) used in traffic management can make traffic management more efficient. In this study, green light time is optimized by estimating the number of vehicles in an intersection with signal lights in Konya city center through artificial ...More Article2020MANAS Journal of Engineering (MJEN)Kyrgyz - Turkish Manas University91 Views

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UN Sustainable Development 1

1 Publications

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