Due to the growing volume of user-generated content, hashtags are employed as topic
indicators to manage content efficiently on social media platforms. However, finding these …

Abstract Human-Computer Interaction (HCI) is a multidisciplinary field focused on designing
and utilizing computer technology, underlining the interaction interface between computers …

Social media was initially intended for creative purposes, but a notable dissemination of
offensive material adversely affects users of these platforms. It is imperative to spotlight and …

As the regulation on the surface web becomes more stringent, criminals are gradually
turning to the darknet markets for illicit operations. Moderating and studying the content on …

In recent years, transformer-based models have played a significant role in advancing
language modeling for natural language processing. However, they require substantial …

The existing learning resource recommendation systems suffer from data sparsity and
missing data labels, leading to the insufficient mining of the correlation between users and …

The ever-growing landscape of Internet of Things (IoT) technology and the evolution of deep
learning algorithms have ushered in transformative changes in the communication strategy …

Social network models often struggle to capture and adapt to these changing dynamics,
leading to limitations in accuracy, scalability, and customization. This research introduces a …

In the dynamic landscape of social media, the strategic use of hashtags has emerged as a
crucial tool for enhancing content discoverability and engagement. This research introduces …

This paper presents a novel approach for the recognition of multiple sclerosis (MS) using
wavelet entropy and a Particle Swarm Optimization (PSO)-based neural network. MS is a …