Diabetes is a chronic disease that continues to be a significant and global concern since it
affects the entire population's health. It is a metabolic disorder that leads to high blood sugar …

The study examines the prospects and challenges of machine learning (ML) applications in
academic forecasting. Predicting academic activities through machine learning algorithms …

A number of disadvantages of traditional networks may be attributed to the close relationship
that exists between the control plane and the data plane inside proprietary hardware …

The use of machine learning algorithms for facial expression recognition and patient
monitoring is a growing area of research interest. In this study, we present a technique for …

A significant study has been undertaken in the areas of health care and administration of
cutting‐edge artificial intelligence (AI) technologies throughout the previous decade …

In experimental analysis and computer‐aided design sustain scheme, segmentation of cell
liver and hepatic lesions by an automated method is a significant step for studying the …

Three‐phase induction motors are becoming increasingly popular for electric cars and
industrial uses because of their improved efficiency and simplicity of production, among …

The use of digital medical images is increasing with advanced computational power that has
immensely contributed to developing more sophisticated machine learning techniques …

When it comes to our everyday life, emotions have a critical role to play. It goes without
saying that it is critical in the context of mobile‐computer interaction. In social and mobile …

This study describes a modified approach for the detection of cardiac abnormalities and
QRS complexes using machine learning and support vector machine (SVM) classifiers. The …