The purpose of this paper was to confirm the basic assumption that classification models are
suitable for solving the problem of data set classifications. We selected four representative …

Advancements in medical technology have created numerous large datasets including
many features. Usually, all captured features are not necessary, and there are redundant …

Cardiovascular disease (CVD) is the leading cause of death worldwide. A Machine Learning
(ML) system can predict CVD in the early stages to mitigate mortality rates based on clinical …

Liver diagnosis at an early stage is essential for enhanced handling. Precise classification is
required for automatic recognition of disease from data samples (utilizing data mining for …

Across many fields of social science, machine learning (ML) algorithms are rapidly
advancing research as tools to support traditional hypothesis testing research (eg, through …

Ensemble learning combines a series of base classifiers and the final result is assigned to
the corresponding class by using a majority voting mechanism. However, the base …

Since most metaheuristic algorithms for continuous search space have been developed, a
number of transfer functions have been proposed including S-shaped, V-shaped, linear, U …

Heart Failure (HF) is a prevalent ailment worldwide, and despite significant medical
advancements in the past few decades, cardiovascular disease is still the leading cause of …

Federated learning (FL) has received a great deal of research attention in the context of
privacy protection restrictions. By jointly training deep learning models, a variety of training …

Time series data abound in many realistic domains. The proper study and analysis of time
series data help to make important decisions. Study of such data is very useful in many …