This paper presents" SwiftTrip," an innovative tool designed to enhance travel planning by
integrating location, activity, weather, and packing considerations. As travel becomes …

An individual's capacity to learn, concentrate, make sound decisions, and solve problems is
all profoundly affected by stress. Recently, researchers in the fields of computer science and …

Support vector machines, in the field of machine learning, are supervised learning models
that examine data for classification and regression using learning methods that are …

The growing demand for renal alternative medical diagnostics is driven by their non-
invasive, early, real-time, and painless characteristics. Early diagnosis of kidney disease is …

The increasing prevalence of cardiovascular diseases worldwide has triggered the need for
developing wearable Electrocardiogram (ECG) systems for routine use in daily life. Here, we …

A novel approach for detecting the presence of a lymphatic rosary in the iris using a 3-stage
algorithm Page 1 AIMS Bioengineering, 11(4): 506–526. DOI: 10.3934/bioeng.2024023 …

This study improves the accuracy of heart disease prediction through the inclusion of data
preprocessing strategies together with a mixture of model systems. Data cleaning was …

This study aims to achieve the improved performance of heart disease prediction based on
the increased level of preprocessing and rather effective feature selection approaches …

As AI systems become deeply ingrained in societal infrastructures, the need to comprehend
their decision-making processes and address potential biases becomes increasingly urgent …

The Covid-19 outbreak classified as a pandemic by World Health Organization, is caused by
the severe acute respiratory (SARS-CoV-2) syndrome coronavirus 2. The surface …