Purpose. Due to the excessive use of raw materials in diagnostic tools and equipment
during the COVID‐19 pandemic, there is a dire need for cheaper and more effective …

Many countries in the world have been facing the rapid spread of COVID-19 since February
2020. There is a dire need for efficient and cheap automated diagnosis systems that can …

The Covid-19 outbreak, which emerged in 2020, became the top priority of the world. The
fight against this disease, which has caused millions of people's deaths, is still ongoing, and …

Objectives When the prognosis of COVID-19 disease can be detected early, the intense-
pressure and loss of workforce in health-services can be partially reduced. The primary …

The use of machine learning (ML) and data mining algorithms in the diagnosis of breast
cancer (BC) has recently received a lot of attention. The majority of these efforts, however …

In the last decade, the implementation of machine learning algorithms in the analysis of
voice disorder is paramount in order to provide a non-invasive voice pathology detection by …

Nowadays, the coronavirus disease (COVID-19) is considered an ongoing pandemic that
spread quickly in most countries around the world. The COVID-19 causes severe acute …

Abstract Automatic Emotion Speech Recognition (ESR) is considered as an active research
field in the Human-Computer Interface (HCI). Typically, the ESR system is consisting of two …

Software-Defined Networking (SDN) is a new type of technology that embraces high
flexibility and adaptability. The applications in SDN have the ability to manage and control …

The last two years are considered the most crucial and critical period of the COVID-19
pandemic affecting most life aspects worldwide. This virus spreads quickly within a short …