This thesis describes a cost-effective infrastructure and implementation for building ubiquitous learning spaces. It uses techniques from the semantic web and ubiquitous computing to build a learner-centric service-based ...

The AI research community has recently been intensely focused on diagnosing COVID19 by applying deep learning technology to the X-ray scans taken of COVID-19 patients. COVID-19 shares many of the same imaging characteristics ...

Various applications in computational linguistics and artificial intelligence rely on high-performing semantic similarity and word sense disambiguation techniques to solve challenging tasks such as information retrieval, ...

As medical technology has developed over the past few decades, the average human life-span has increased and as a side effect, chronic illness has become more prevalent. Many patients now require constant, everyday monitoring ...

Traditionally, physicians rely on medical knowledge learned or acquired through practice to make a correct decision in diagnosis of diseases and affected medications. Progress in knowledge base systems and related Information ...

There is a growing realization that healthcare is a knowledge-intensive field. The ability to capture and leverage semantics via inference or query processing is crucial for supporting the various required processes in ...