A comparative study of feature selection techniques in machine learning for predicting stock market trends
AS Paramita, SV Winata - Journal of Applied Data Sciences, 2023 - bright-journal.org
This study aims to compare the effectiveness of three feature selection techniques, namely
Principal Component Analysis (PCA), Information Gain (IG), and Recursive Feature …
Principal Component Analysis (PCA), Information Gain (IG), and Recursive Feature …
A comparison of machine learning algorithms applied to hand gesture recognition
Hand gesture recognition for human computer interaction is an area of active research in
computer vision and machine learning. The primary goal of gesture recognition research is …
computer vision and machine learning. The primary goal of gesture recognition research is …
GOALALERT: A novel real-time technical team alert approach using machine learning on an IoT-based system in sports
In team sports, the placement of the players before and during the competition/match is very
important in terms of tactics. Wrong formation and tactics can directly cause losing the match …
important in terms of tactics. Wrong formation and tactics can directly cause losing the match …
implementing the Expected Goal (xG) model to predict scores in soccer matches
Football is a sport that has the most fans in the world. What makes sebak patterns so popular
are their uncertain and unpredictable results. There are many factors that affect the outcome …
are their uncertain and unpredictable results. There are many factors that affect the outcome …
An overview on opponent modeling in RoboCup soccer simulation 2D
This paper reviews the proposed opponent modeling algorithms within the soccer simulation
domain. RoboCup soccer simulation 2D is a rich multi agent environment where opponent …
domain. RoboCup soccer simulation 2D is a rich multi agent environment where opponent …
Vision-based Portuguese sign language recognition system
Vision-based hand gesture recognition is an area of active current research in computer
vision and machine learning. Being a natural way of human interaction, it is an area where …
vision and machine learning. Being a natural way of human interaction, it is an area where …
The principles of tactical formation identification in association football (soccer)—a survey
H Sotudeh - Frontiers in Sports and Active Living, 2025 - research-collection.ethz.ch
This paper reviews the principles employed to identify team tactical formations in association
football, covering over two decades of research based on event and tracking data. It first …
football, covering over two decades of research based on event and tracking data. It first …
IoT based agricultural business model for estimating crop health management to reduce farmer distress using SVM and machine learning
I Banerjee, P Madhumathy - Internet of Things and Analytics for Agriculture …, 2022 - Springer
Agriculture and farming is the backbone of the society which serves the basic needs of the
human livelihood. Indian climate is always favorable for growing crops and providing …
human livelihood. Indian climate is always favorable for growing crops and providing …
Development of an omnidirectional kick for a nao humanoid robot
This paper proposes a method to develop an omnidirectional kick behavior for a humanoid
robot. The objective is to provide a humanoid with the ability to kick in different directions …
robot. The objective is to provide a humanoid with the ability to kick in different directions …
Junior soccer simulation: providing all primary and secondary students access to educational robotics
FN Martins, IS Gomes… - 2015 12th Latin American …, 2015 - ieeexplore.ieee.org
The use of robots as educational tools provide a stimulating environment for students. Some
robotics competitions focus on primary and secondary school aged children, and serve as a …
robotics competitions focus on primary and secondary school aged children, and serve as a …