With the increasing number of software vulnerabilities being disclosed each year, prioritizing
them becomes essential as it is challenging to patch all of them promptly. Exploitability …

Network entities have important asset map**, vulnerability, and service delivery
applications. In cyberspace, where the network structure is complex and the number of …

This research focuses on identifying personality disorders in individuals using their social
media text. We developed a unique collection of words (PD-Corpus) and a dataset (PD …

Aspect-based sentiment Analysis (ABSA) has emerged as a critical research area in natural
language processing, facilitating a deeper understanding of user opinions and sentiments …

As the metaverse emerges as a new frontier of human interaction, understanding public
perceptions of crime in virtual spaces becomes crucial. This study delves into public …

Insider threats involving authorised individuals exploiting their access privileges within an
organisation can yield substantial damage compared to external threats. Conventional …

The demand responsive transit (DRT) is a type of bus that does not have a fixed route and
provides flexible travel services within a certain area range based on passengers' needs …

Obtaining high-quality data sets from raw data is a key step before data exploration and
analysis. Nowadays, in the medical domain, a large amount of data is in need of quality …

This study explores the implications of integrating Health Information System (HIS) on the
security and privacy of sensitive patient information. It identifies existing gaps in research …

The prediction of stock market movements is a critical task for investors, financial analysts,
and researchers. In recent years, significant advancements have been made in the field of …