The metaverse promises a host of bright opportunities for business, economics, and society.
Though, a number of critical aspects are still to be considered and the analysis of their …

The growing use of media has led to the development of several machine learning (ML) and
natural language processing (NLP) tools to process the unprecedented amount of social …

Real-world adversarial attacks on machine learning models often feature an asymmetric
structure wherein adversaries only attempt to induce false negatives (eg, classify a spam …

Deep neural networks (DNNs) have been the driving force behind many of the recent
advances in machine learning. However, research has shown that DNNs are vulnerable to …

In recent years, we have witnessed growing interest in using deep learning to detect
misinformation. This increased attention is being driven by deep learning technologies' …

In recent years, the widespread adoption of Machine Learning (ML) at the core of complex IT
systems has driven researchers to investigate the security and reliability of ML techniques. A …

Pre-trained language models like BERT have shown remarkable success in many areas,
including the detection of propaganda in text messages. However, recent studies have …

As an emerging technology that enables seamless integration between the physical and
virtual worlds, the Metaverse has great potential to be deployed in the industrial production …

Background Community health worker (CHW)-led maternal health programs have
contributed to increased facility-based deliveries and decreased maternal mortality in sub …

The prevalence of fake news in today's society is a serious concern, as it can compromise
the reliability of information and have detrimental effects on individuals and communities. In …