Small data are often used in scientific and engineering research due to the presence of
various constraints, such as time, cost, ethics, privacy, security, and technical limitations in …

Background The increased adoption of the internet, social media, wearable devices, e-
health services, and other technology-driven services in medicine and healthcare has led to …

Globally, there is a substantial unmet need to diagnose various diseases effectively. The
complexity of the different disease mechanisms and underlying symptoms of the patient …

The world is still trying to recover from the devastation caused by the wide spread of COVID-
19, and now the monkeypox virus threatens becoming a worldwide pandemic. Although the …

Deep Learning (DL) and Machine Learning (ML) are effectively utilized in various
complicated challenges in healthcare, industry, and academia. The Internet of Drones (IoD) …

Healthcare systems are under increasing strain due to a myriad of factors, from a steadily
ageing global population to the current COVID-19 pandemic. In a world where we have …

Abstract Machine learning methods offer great promise for fast and accurate detection and
prognostication of coronavirus disease 2019 (COVID-19) from standard-of-care chest …

Background and objective During the recent global urgency, scientists, clinicians, and
healthcare experts around the globe keep on searching for a new technology to support in …

Abstract Corona Virus Disease (COVID-19) has been announced as a pandemic and is
spreading rapidly throughout the world. Early detection of COVID-19 may protect many …

Abstract Background and Objective: Coronavirus disease (COVID-19) is an infectious
disease caused by a new virus never identified before in humans. This virus causes …