Due to the wide availability of easy-to-access content on social media, along with the
advanced tools and inexpensive computing infrastructure, has made it very easy for people …

The remarkable success of Transformer-based embeddings in natural language tasks has
sparked interest among researchers in applying them to classify rumours on social media …

The rapid proliferation of news and posts across social media platforms has spawned a
concerning wave of misinformation. Disseminating false information and news significantly …

In this paper, we share our best performing submission to the Arabic AI Tasks Evaluation
Challenge (ArAIEval) at ArabicNLP 2023. Our focus was on Task 1, which involves …

In the context of the escalating use of social media in Arabic-speaking countries, driven by
improved internet access, affordable smartphones, and a growing digital connectivity trend …

The current energy crisis is a pressing global challenge, with the industrial sector accounting
for half of global energy consumption. Scheduling is considered one of the potential …

The growing proliferation of social networks provides users worldwide access to vast
amounts of information. However, although social media users have benefitted significantly …

Agriculture is the primary occupation in India and owing to plant diseases, annually it loses
35% of its crops. Early detection of plant disease is a challenging task due to its expert …

This study focuses on solving the green economic load dispatch problem by considering the
presence of green energy sources, including wind energy and solar power plants. The main …

Sleep stage analysis plays an imperative role in sleep disorder analysis to diagnose a
person's mental and physical health. In the past, various techniques were presented for a …