The year 2020 experienced an unprecedented pandemic called COVID-19, which impacted
the whole world. The absence of treatment has motivated research in all fields to deal with it …

In the current era, data is growing exponentially due to advancements in smart devices. Data
scientists apply a variety of learning-based techniques to identify underlying patterns in the …

Due to the high classification accuracy and fast computational speed offered by Deep
Neural Networks (DNNs), they have been widely used for the design and development of …

Nowadays, social media and networks, scientific instruments, mobile devices, mobile
devices, and a high volume of information data (tabular data, text files, images, videos …

The rapid diagnosis of COVID-19 through imaging is crucial in the current pandemic
scenario. This study introduces the CovidFusionNet, a novel model adapted for efficient …

Image classification is one of the computer vision problems. It is a supervised learning
technique, in this, images are classified according to their different characteristics (features) …

Mucormycosis, renowned as black fungus, is an uncommon and invasive fungal infection
that commonly targets immunocompromised patients. A group of molds called Mucor causes …

The time frame of 2020 to present day 2022 primarily highlights the COVID-19 pandemic.
The humanity is being largely affected by SARS-CoV-2 (The Severe Acute Respiratory …

The presence of COVID-19 infection and its threat to human life has led to the urgent need to
contribute to combating it, so global initiatives have emerged to regulate and manage the …

This paper investigates the impacts of corona virus pandemic (COVID-19) and the
vaccination required, as well as prospective policy directions to limit its effects, based on a …