Artificial intelligence (AI) models are increasingly finding applications in the field of
medicine. Concerns have been raised about the explainability of the decisions that are …

Federated learning (FL) refers to a system in which a central aggregator coordinates the
efforts of several clients to solve the issues of machine learning. This setting allows the …

Pneumonia is a widespread and acute respiratory infection that impacts people of all ages.
Early detection and treatment of pneumonia are essential for avoiding complications and …

The origin of the COVID-19 pandemic has given overture to redirection, as well as
innovation to many digital technologies. Even after the progression of vaccination efforts …

The integration of the Internet of Things (IoT) connects a number of intelligent devices with
minimum human interference that can interact with one another. IoT is rapidly emerging in …

In this study, we extensively evaluated the viability of the state-of-the-art YOLOv8
architecture for object detection tasks, specifically tailored for smoke and wildfire …

This paper proposes a new deep learning (DL) framework for the analysis of lung diseases,
including COVID-19 and pneumonia, from chest CT scans and X-ray (CXR) images. This …

Tuberculosis (TB) is an airborne disease caused by Mycobacterium tuberculosis. It is
imperative to detect cases of TB as early as possible because if left untreated, there is a 70 …

The opacity of deep learning makes its application challenging in the medical field.
Therefore, there is a need to enable explainable artificial intelligence (XAI) in the medical …

With the SARS-CoV-2's exponential growth, intelligent and constructive practice is required
to diagnose the COVID-19. The rapid spread of the virus and the shortage of reliable testing …