This paper focuses on the data-driven diagnosis of polycystic ovary syndrome (PCOS) in
women. For this, machine learning algorithms are applied to a dataset freely available in …

This article studies the fundamental problem of graph coloring in fully dynamic graphs. Since
the problem of computing an optimal coloring, or even approximating it to within n1-ε for any …

Atrial Fibrillation (AF) categorized as one kind of arrhythmia that mostly found on a daily
basis. It is indicated by irregular heart beat in the heart's electrical system from the atrium …

In recent years, the important and fast growth in the development and demand of multimedia
products is contributing to an insufficiency in the bandwidth of devices and network storage …

In this study we will provide a new way of images compression based on two mathematic
concepts, these two concepts are Singular Value Decomposition (SVD) and Block …

With internet, anyone can publish their creation into digital data simply, inexpensively, and
absolutely easy to be accessed by everyone. However, the problem appears when anyone …

Polycystic Ovarian Syndrome (PCOS) is a widespread hormone problem for women of
childbearing age. Women with PCOS may not ovulate; they might have high levels of …

Currently, the data storage medium in digital form are widely applied in various fields,
including in the medical world. The excessive size of the digital medical image digital poses …

In recent years, women's reproductive health has become a significant concern. Issues like
preterm abortions, infertility, ovarian disorders, and declining fertility rates are prevalent …

The techniques of high dimensionality reduction are important tools in machine learning and
data science. The method of singular value decomposition (SVD) is a popular method in …