Feature selection has a prominent role in high-dimensional datasets to increase
classification accuracy, decrease the learning algorithm computational time, and present the …

Food recommendation systems (FRS) have gained prominence for providing personalized
dietary recommendations. This paper explores the integration of FRS and nutritional therapy …

Feature selection is a problem that continues to be explored by researchers until an exact
and fast method is found. A variety of criteria based on statistics, consistency, information …

This paper introduces an algorithm to construct a bidirectional causal graph using an
augmented graph. The algorithm decomposes the augmented graph, significantly reducing …

Feature selection is a crucial step in machine learning, especially for high-dimensional
datasets, where irrelevant and redundant features can degrade model performance and …

A posterior probability and intra-cluster feature weight online dynamic feature selection
algorithm is proposed to address the issues of high dimensionality and high volatility of data …

With the rise of the Internet of Things (IoT) and Fifth Generation (5G) networks, real-time
health monitoring has become more efficient, enabling continuous tracking of cardiac health …