Background Early recognition of severely injured patients in prehospital settings is of
paramount importance for timely treatment and transportation of patients to further treatment …

Deep Learning techniques have become the mainstream and unquestioned standard in
many fields, eg convolutional neural networks (CNN) for image analysis and recognition …

The unstructured-textual crash descriptions recorded by police officers is rarely utilized,
despite containing detailed information on traffic situations. This lack of utilization is mainly …

Big data are key building blocks for creating information value. However, information
systems are increasingly plagued with useless, waste data that can impede their effective …

The 6-min walk test (6MWT) is commonly used to assess a person's physical mobility and
aerobic capacity. However, richer knowledge can be extracted from movement assessments …

This research introduces an innovative approach for identifying duplicate questions within
the Stack Overflow community, a challenging task in NLP. Leveraging deep learning …

This paper reviews the most recent literature on experiments with different Machine
Learning, Deep Learning and Natural Language Processing techniques applied to predict …

Misinformation during pandemic situations like COVID-19 is growing rapidly on social media
and other platforms. This expeditious growth of misinformation creates adverse effects on …

With the continuous expansion of the field of natural language processing, researchers have
found that there is a phenomenon of imbalanced data distribution in some practical …

One aspect of natural language processing, text classification, has become necessary in the
educational domain due to the increasing number of students and the COVID-19 outbreak …