The addition of devices in the IoT framework has leveraged the performance and ability of
medical device computation in developing the Internet of Medical Things (IoMT) framework …

The early detection and classification of lung cancer is crucial for improving a patient's
outcome. However, the traditional classification methods are based on single machine …

Anxiety and depression are common psychiatric conditions associated with significant
morbidity and healthcare costs. Sleep is an evolutionarily conserved health state. Anxiety …

In this difficult period and with the great influence of COVID-19 on many aspects of people's
lives, many areas have been affected such as economy, tourism and especially issues …

This paper presents an improved social media news separation system called unstructured
Fake News Detection (UFND) system and it aims to identify the unstructured social media …

In a very short time, deep learning has become a widely useful technique, solving and
automating problems in computer vision, robotics, healthcare, physics, biology, and beyond …

In recent years, the World Wide Web (WWW) has become a global data center, which
permits people to store and distribute their information. The information in Web Pages may …

Alzheimer's disease is associated with a fragmental protein deposits termed as biomarkers.
These biomarkers are studied and researched with various techniques in improving the …

COVID-19 made its debut as a pandemic in 2020; since then, more than 607 million cases
and at least 6.5 million deaths have been reported worldwide. While the burden of disease …

This study employs a qualitative methodology to explore the effects of the pandemic on the
lives of ALS patients and their caregivers. It aims to understand whether and how online self …