Intensive Care Units (ICUs) collect vast amounts of data, including patient vitals, often recorded as time series data. This data can be analyzed to extract meaningful data, which can aid in timely intervention, improving ...

Twitter has emerged as a prominent social media platform for activism and counterpublic narratives. The counterpublics leverage hashtags to build a diverse support network and share content on a global platform that counters ...

Up to 70% of Systems on a Chip (SoC) area are occupied by embedded memories. In order to achieve higher robustness, embedded SRAMs (eSRAM) are often used in SOC applications. However, due to advancement in technology it ...

Online Social Networks (OSNs) have become a huge aspect of modern society. Social network usage is on a rise, with over 2 billion people using it across the globe, and the surge is only expected to increase. Online Social ...

In the ever-changing world of bioinformatics, this study dives into finding the connections between our gut, metabolomic data, and heart diseases. Data was gathered from 20 different study cohort groups, and 14 clinical ...

Ensuring that COVID-19 data adheres to the principles of Findability, Accessibility, Interoperability, and Reusability (FAIR) is critical for effective research and analysis. In this project, we systematically verify these ...

Deep learning involves training machines to understand patterns, classify objects, and predict outcomes. This has led to the emergence of various fields, including computer vision, natural language processing, speech ...

Frontal radar imaging has been proposed as an alternate technology to cameras for through wall surveillance and law enforcement. Cameras cannot see through wall as optic frequencies do not penetrate walls. On the other ...

As technology advances,semiconductor devices are becoming less predictable. This means device failure rate increases as we move down to lower technology nodes. According to ITRS roadmap upto 80% of SOC (Silicon On Chip) ...