Performance evaluation of a green scheduling algorithm for energy savings in cloud computing
With energy shortages and global climate change leading our concerns these days, the
power consumption of datacenters has become a key issue. Obviously, a substantial …
power consumption of datacenters has become a key issue. Obviously, a substantial …
A game-predicting expert system using big data and machine learning
Abstract The National Hockey League (NHL) is a major North American sports organization
that earns $3.3 billion in annual revenue, and its stakeholders—team management …
that earns $3.3 billion in annual revenue, and its stakeholders—team management …
[PDF][PDF] Predicting Win-Loss outcomes in MLB regular season games–A comparative study using data mining methods
CS Valero - International Journal of Computer Science in Sport, 2016 - sciendo.com
Baseball is a statistically filled sport, and predicting the winner of a particular Major League
Baseball (MLB) game is an interesting and challenging task. Up to now, there is no definitive …
Baseball (MLB) game is an interesting and challenging task. Up to now, there is no definitive …
A Bayesian approach to predict football matches with changed home advantage in spectator-free matches after the COVID-19 break
Since the coronavirus disease 2019 (COVID-19) pandemic, most professional sports events
have been held without spectators. It is generally believed that home teams deprived of …
have been held without spectators. It is generally believed that home teams deprived of …
A football player rating system
S Wolf, M Schmitt, B Schuller - Journal of Sports Analytics, 2021 - journals.sagepub.com
Association football (soccer) is the most popular sport in the world, resulting in a large
economic interest from investors, team managers, and betting agencies. For this reason, a …
economic interest from investors, team managers, and betting agencies. For this reason, a …
Improving accuracy of host load predictions on computational grids by artificial neural networks
The capability to predict the host load of a system is significant for computational grids to
make efficient use of shared resources. This work attempts to improve the accuracy of host …
make efficient use of shared resources. This work attempts to improve the accuracy of host …
[PDF][PDF] Prediction of football match outcomes based on bookmaker odds by using k-nearest neighbor algorithm
Making predictions for sport competitions, which are followed by a large number of people,
has always been an interesting field for sport fans, bettors, researchers etc. despite the …
has always been an interesting field for sport fans, bettors, researchers etc. despite the …
Using Convolutional Neural Network to Predict EURO Games
AS Randrianasolo - 2024 IEEE 14th Annual Computing and …, 2024 - ieeexplore.ieee.org
This paper presents the application of convolutional neural networks to the domain of soccer
game predictions. The convolutional neural networks were trained on past soccer games …
game predictions. The convolutional neural networks were trained on past soccer games …
Analysis and Parameterization of Sports Performance: A Case Study of Soccer
JÁ Román-Gallego, ML Pérez-Delgado… - Applied Sciences, 2023 - mdpi.com
The importance of Big Data and the analysis of this data in recent years is indisputable, and
this boom has spread to all areas of life, including professional sports and, within this …
this boom has spread to all areas of life, including professional sports and, within this …
Predicting euro games using an ensemble technique involving genetic algorithms and machine learning
AS Randrianasolo - 2023 IEEE 13th Annual Computing and …, 2023 - ieeexplore.ieee.org
This paper summarizes our first attempt to use an ensemble technique to predict soccer
games. We chose to represent the games by converting the difference of the teams' statistics …
games. We chose to represent the games by converting the difference of the teams' statistics …