The Metaverse represents a virtual realm that is progressively supplanting the digital world, offering a unified, immersive, and enduring 3D virtual space. Its potential for transforming various aspects of human life is immense, spanning work, leisure, and everyday activities. It delves into the essential elements of the metaverse, including its prerequisites, structure, standards, challenges, and potential solutions. Bitcoin and the rise of NFTs also attract attention to the blockchain ecosystem. This increased focus on blockchain prompted discussions about the metaverse. Mark Zuckerberg, the CEO of Facebook, announced the company's transformation into a metaverse-focused entity and its ren... More >

Stance detection identifies a text’s position or attitude toward a given subject. A major challenge in Roman Urdu is the lack of a publicly available dataset for political stance detection. To address this gap, we constructed a high-quality dataset of 8,374 political tweets and comments using the Twitter API, annotated with stance labels: agree, disagree, and unrelated. The dataset captures diverse political viewpoints and user interactions. For feature representation, we employed TF-IDF due to its effectiveness in handling high-dimensional, context-sensitive Roman Urdu text. Several machine learning classifiers were evaluated, with Random Forest achieving the highest accuracy of 95%. Addi... More >

Across the globe, heart diseases rank as the top cause of death, with their incidence steadily rising. However, early detection before a cardiac event (e.g., cardiac arrest) remains a significant challenge. Although the healthcare sector possesses extensive data on heart disease, the effective use of this data for timely detection is essential to protect from such events. This paper proposes an innovative approach using fuzzy logic (FL), convolutional neural network (CNN) models, and feature selection to more accurately assess the risk of heart attacks. Our study also emphasizes the importance of data preprocessing, including data transformation, cleaning, and normalization, to facilitate th... More >