Deep learning techniques, which use a massive technology known as convolutional neural
networks, have shown excellent results in a variety of areas, including image processing …

Multi-agent reinforcement learning (MARL) is a widely used Artificial Intelligence (AI)
technique. However, current studies and applications need to address its scalability, non …

Deep learning (DL) algorithms have demonstrated a high ability to perform speedy and
accurate COVID-19 diagnosis utilizing computed tomography (CT) and X-Ray scans. The …

The COVID-19 virus's rapid global spread has caused millions of illnesses and deaths. As a
result, it has disastrous consequences for people's lives, public health, and the global …

Due to the COVID‐19 pandemic, computerized COVID‐19 diagnosis studies are
proliferating. The diversity of COVID‐19 models raises the questions of which COVID‐19 …

The coronavirus (COVID‐19) pandemic has had a terrible impact on human lives globally,
with far‐reaching consequences for the health and well‐being of many people around the …

Abstract Coronavirus disease 2019 (COVID‐19) has attracted significant attention of
researchers from various disciplines since the end of 2019. Although the global epidemic …

The modern scientific world continuously endeavors to battle and devise solutions for newly
arising pandemics. One such pandemic which has turned the world's accustomed routine …

COVID-19 X-ray images are a vital approach for diagnosing whether a patient has an
infection. By using multi-threshold image segmentation (MIS) technology to segment the …

COVID-19 has shaken the entire world economy and affected millions of people in a brief
period. COVID-19 has numerous overlapping symptoms with other upper respiratory …