In healthcare, medical practitioners employ various imaging techniques such as CT, X-ray,
PET, and MRI to diagnose patients, emphasizing the crucial need for early disease detection …

Diabetic Retinopathy (DR) is a leading cause of vision loss, resulting in blindness for many
individuals. Numerous systems have been developed to detect and classify DR. The …

Weather forecasting has a greater effect on human life, recently this filed has gained a
significant research attention. The existing numerical weather prediction models are very …

This review article delves into the transformative role of deep learning in remote healthcare,
highlighting its potential to enhance diagnostic accuracy, patient monitoring, and …

Sentiment analysis is a powerful tool that has been gaining popularity among businesses in
recent years. It involves analyzing text, speech, or images to understand the emotions or …

This article presents a novel method for identifying multiple salient regions using a
combination of foreground clues. While previous research has been successful in detecting …

The COVID-19 pandemic has caused a global health crisis. Chest X-ray (CXR) imaging is
most commonly utilized techniques for diagnosing COVID-19. However, accuracy of CXR …

Abstract Machine learning is an area that helps to predict outcomes more accurately. It was
utilized in different domains such as banking, healthcare, education, etc. Among all the …

As technology advances, the utilization of medical data has seen a significant increase. With
this growth, medical institutions have increasingly turned to share-able databases to …

Data mining is one of the significant area where it plays a predominant role in extracting
important factors and trends from large volume of data. This covers various areas such as …