Many countries in the world have been facing the rapid spread of COVID-19 since February
2020. There is a dire need for efficient and cheap automated diagnosis systems that can …

Social media networks have become a significant aspect of people's lives, serving as a
platform for their ideas, opinions and emotions. Consequently, automated sentiment …

The rapid spread of COVID-19 across the globe since its emergence has pushed many
countries' healthcare systems to the verge of collapse. To restrict the spread of the disease …

The COVID-19 pandemic has claimed the lives of millions of people and put a significant
strain on healthcare facilities. To combat this disease, it is necessary to monitor affected …

To diagnose the liver diseases computed tomography images are used. Most of the time
even experienced radiologists find it very tough to note the type, size, and severity of the …

The objective of a deep learning neural network is to have a final model that performs well
both on the data used to train it and the new data on which the model will be used to make …

Automatic topic detection seems unavoidable in social media analysis due to big text data
which their users generate. Clustering-based methods are one of the most important and up …

Abstract Early in 2019, COVID-19 was discovered for the first time in Wuhan, China,
resulting in the deaths of a significant number of people in many different countries all over …

Chest X-ray images play a crucial role in pneumonia diagnosis, with deep transfer learning
being a widely adopted method for pneumonia detection. However, effectively handling …

The difficulty of detecting liver disease at an early stage goes back to its limited number of
symptoms. In this study, single and ensemble machine learning (ML) algorithms are applied …