Background The incidence and mortality rates of cardiovascular disease worldwide are a
major concern in the healthcare industry. Precise prediction of cardiovascular disease is …

Existing personality detection methods based on user-generated text have two major
limitations. First, they rely too much on pre-trained language models to ignore the sentiment …

Recently, sentiment analysis research has made significant improvements in addressing
sentiment and subjectivity within textual content. The advent of multimodal deep learning …

Emotions play a vital role in recognizing a person's thoughts and vary significantly with
stress levels. Emotion and stress classification have gained considerable attention in …

Introduction Recent advancements in Natural Language Processing (NLP) and widely
available social media data have made it possible to predict human personalities in various …

Machine learning (ML) is a popular tool in healthcare while it can help to analyze large
amounts of patient data, such as medical records, predict diseases, and identify early signs …

Automatic regex synthesis involves generation of regular expressions from user-written
natural language descriptions, example strings or both. Daily, countless regex generation …

The relation between emotions and music is substantial because music as an art can evoke
emotions. Music emotion recognition (MER) studies the emotions that music brings in the …

A sustainable city is a smart city with a minimal impact on the environment, by incorporating
technologies to reduce pollution. Traffic congestion which is a major concern contributes to …

Cardiovascular diseases are the leading contributor of mortality worldwide. Accurate
cardiovascular disease prediction is crucial, and the application of machine learning and …