The expanding scale of cloud data centers and the diversification of user services have led
to an increase in energy consumption and greenhouse gas emissions, resulting in long-term …

In this survey, a comprehensive study is provided, regarding the use of machine learning
(ML) algorithms for effective resource management in fifth-generation and beyond (5G/B5G) …

The post covid-19 studies have reported significant negative impact witnessed on global
education and learning with the closure of schools' physical infrastructure from 2020 to …

Invasive angiography is the reference standard for coronary artery disease (CAD) diagnosis
but is expensive and associated with certain risks. Machine learning (ML) using clinical and …

Understanding clinical features and risk factors associated with COVID-19 mortality is
needed to early identify critically ill patients, initiate treatments and prevent mortality. A …

Learning is the acquisition of knowledge and skills that are stored in memory overtime as
well as having it readily available for prompt access to help resolve challenges and explore …

Providing better quality of service is one of the most important goals in medical/healthcare
systems. The services provided should have features such as low latency, appropriate …

Advancement in information and communication technology leads to different
communication channels. One of them is the Internet of Things (IoT) which plays an …

Cloud computing is a paradigm that uses techniques such as virtualization, time sharing and
distributed computing to provide a wide range of hardware and software services for users …

Automatic recognition of facial expressions is a common problem in human-computer
interaction. While humans can recognize facial expressions very easily, machines cannot do …