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 …

Natural language processing (NLP) may face the inexplicable “black-box” problem of
parameters and unreasonable modeling for lack of embedding of some characteristics of …

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 …

As network infrastructures continue to grow and traffic encryption technologies evolve at a
rapid pace, the task of classifying encrypted traffic has become significantly more intricate …

Of late, the exponential rise in the global population is driving higher energy demand.
However, the rapid depletion of conventional fossil fuels and growing environmental …

In the field of social computing, the task of aspect-based sentiment analysis (ABSA) aims to
classify the sentiment polarity of a given aspect in a sentence. The absence of explicit …

In light of the exponential growth in information volume, the significance of graph data has
intensified. Graph clustering plays a pivotal role in graph data processing by jointly modeling …

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

Accurate prediction of vehicle trajectories is essential for safe and efficient navigation in
urban environments, particularly with the increasing prevalence of autonomous vehicles and …

Malicious encrypted traffic detection is a critical component of network security management.
Previous detection methods can be categorized into two classes as follows: one is to use the …