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 research on sentiment analysis has shown a great deal of utility in the field of public
health, specifically in the investigation of infectious illnesses. As the world begins to …

Time series forecasting (TSF) has long been a crucial task in both industry and daily life.
Most classical statistical models may have certain limitations when applied to practical …

The recent outbreak of novel coronavirus disease (COVID-19) has resulted in healthcare
crises across the globe. Moreover, the persistent and prolonged complications of post …

People have recently begun communicating their thoughts and viewpoints through user-
generated multimedia material on social networking websites. This information can be …

In the current pandemic, smart technologies such as cognitive computing, artificial
intelligence, pattern recognition, chatbot, wearables, and blockchain can sufficiently support …

Poverty is a glaring issue in the twenty-first century, even after concerted efforts of
organizations to eliminate the same. Predicting poverty using machine learning can offer …

Background: The acquisition and exchange of meaningful, integrated, and accurate
information are at the forefront of the combat against COVID-19; still, there are many …

The recent advancement and popularities of remote sensing technology is increasing day by
day. Due to this the uses of hyperspectral imaging is also gaining popularity. Feature …

This study is centered around the COVID‐19 pandemic which has posed a global health
concern for over three years. It emphasizes the importance of effectively utilizing epidemic …