Artificial intelligence applications in the football codes: A systematic review

I Elstak, P Salmon, S McLean - Journal of Sports Sciences, 2024 - Taylor & Francis
Artificial Intelligence (AI) is increasingly being adopted across many domains such as
transport, healthcare, defence and sport, with football codes no exception. Though there is a …

The neuromarketing concept in artificial neural networks: A case of forecasting and simulation from the advertising industry

RR Ahmed, D Streimikiene, ZA Channar, HA Soomro… - Sustainability, 2022 - mdpi.com
This research aims to examine a neural network (artificial intelligence) as an alternative
model to examine the neuromarketing phenomenon. Neuromarketing is comparatively new …

Prediction of hydraulic blockage at culverts using lab scale simulated hydraulic data

U Iqbal, MZ Bin Riaz, J Barthelemy, P Perez - Urban Water Journal, 2022 - Taylor & Francis
Blockage of culverts causes reduction in hydraulic capacity and is one of the main
contributors to trigger urban flooding. However, the highly non-linear nature of debris …

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

AE Tümer, Z Akyıldız, AH Güler… - Proceedings of the …, 2022 - journals.sagepub.com
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 …

Forecasting the Electricity Capacity and Electricity Generation Values of Wind &Solar Energy with Artificial Neural Networks Approach: The Case of Germany

F Kılıç - Applied Artificial Intelligence, 2022 - Taylor & Francis
Recently, studies on energy estimation have been developing rapidly to increase the
efficiency of Wind & Solar energy production-consumption. Artificial Neural Networks, an …

The estimation of German Football League (Bundesliga) team ranking via artificial neural network model

ZB Aktuğ, S İbiş, H Aka, F Kılıç - Turkish Journal of Sport and …, 2022 - dergipark.org.tr
This study was conducted to estimate the places of teams in league ranking by the analysis
of the time intervals of the scored and conceded goals in football using Artificial Neural …

Serving Up Success: Unveiling the Power of Machine Learning for Volleyball League Prediction

E Altundağ, H Aka, Ç Soylu, P Demir - Gazi Beden Eğitimi ve Spor …, 2024 - dergipark.org.tr
This study investigates the efficacy of Artificial Neural Networks (ANN) in predicting
volleyball league standings, focusing on the Turkish Volleyball Federation's Sultanlar and …

Forecasting of G7 Countries' Total Energy Production: A Rigorous Exploration with Artificial Neural Networks and Multiple Linear Regression

G BAYIR, F KILIÇ, FÜ DİRİ, H ERKAYMAZ - 2024 - researchsquare.com
The G7 countries, consisting of Canada, France, Germany, Italy, Japan, the United Kingdom,
and the United States, have important collaborations in energy production to achieve energy …