In the domain of target detection in mobile and embedded devices, neural network model
inference speed is a crucial metric. This paper introduces YOLO-FLNet, a lightweight …

As social media usage grows in popularity, so does the risk of encountering malicious
Uniform Resource Locator (URLs). Determining the authenticity of a URL can be a highly …

Semantic features play a pivotal role in natural language processing, providing a deeper
understanding of the meaning and context within textual data. In the realm of machine …

Cybercrime is a growing concern, particularly in this COVID-19 era. The COVID-19 outbreak
has shown the significant impact potential of such crises on our daily lives worldwide …

Aiming at the problems of missing local context features, single word vector representation,
and low entity recognition accuracy, a method for e-medical recording with named entity …

The continued prevalence of phishing attacks highlights the need of research into the
creation of reliable detection models for this pervasive online danger to e-business. Using a …

Phishing is one of the most serious issues now-a-days, and many internet users are falling
prey to it. Website phishing is a major threat that focuses on developing spoofed sites as a …

There is a serious risk to information privacy and security in the IoT ecosystem from phishing
attacks. This research offers a unique strategy for increasing phishing attack detection by …

The necessity to concentrate on internet security has arisen due to technological and
internet advancement. The primary objective of cyberattacks is to obtain sensitive data …

In a digital ecosystem where large amounts of data related to user actions are generated
every day, important concerns have emerged about the collection, management, and …