Specific emitter identification (SEI) plays an important role in secure Industrial Internet of
Things (IIoT). In recent years, many SEI methods based on machine learning (ML) and deep …

By employing attention mechanisms, transformers have made great improvements in nearly
all NLP tasks, including text classification. However, the context of the transformer's attention …

Disease prediction requires a deep understanding of both clinical thinking and medical
knowledge. We propose a framework for the deep and dynamic interaction of empirical and …

Short text classification task is a special kind of text classification task in that the text to be
classified is generally short, typically generating a sparse text representation that lacks rich …

[Objective] This paper proposes a classification model for sensitive texts in online
communities based on a graph neural network, which supports public opinion governance …

The ever-increasing scale and complexity of scientific research is surpassing our means to
assimilate newly produced knowledge. Computer tools are necessary for the organisation …