The recent outbreak of COVID-19 in different states of India has major concerns for all
administrative departments of the government and general public. The Pandemic has been tested …

Purpose: To identify pneumonia location and determine the severity of pneumonia using deep
learning network on chest X-ray images Methods: Data from RSNA Pneumonia detection …

The rapid spread of COVID-19 worldwide has claimed thousands of lives and has put
unprecedented pressure on the healthcare systems around the world. The World Health …

With the advancement in AI, deep learning techniques are widely used to design robust
classification models in several areas such as medical diagnosis tasks in which it achieves good …

Wide range of convolution neural network architectures are available for image classification,
segmentation and object detection. Most of the architecture focus on accuracy as primary …

Stock market prediction has been an active area of research for a considerable period. Arrival
of computing, followed by Machine Learning has upgraded the speed of research as well …

The health crisis caused by the COVID-19 pandemic has led to unprecedented research
efforts to build AI solutions that can assist healthcare systems. In this work, we propose a novel …

This paper presents a predictive model to potentially identify high-risk COVID-19 infected
patients based on easily analyzed circulatory blood markers. These findings can enable …

This paper focuses on building a deep learning based efficient attendance capturing system.
Contemporary world is heading towards AI where every second creates a new vision with …

Data Science, being the most imperative part of Medical Science, is contributing its vital role
in finding solutions to the greatest existing hurdles. It is being used to develop drugs, …