3D point cloud applications have become increasingly prevalent in diverse domains,
showcasing their efficacy in various software systems. However, testing such applications …

Purpose This study investigates user preferences for motivational features aligned with self-
determination theory (SDT), emphasizing autonomy, relatedness, and competency. The …

Machine learning has achieved remarkable success across diverse domains. Nevertheless,
concerns about interpretability in black-box models, especially within Deep Neural Networks …

The widespread adoption of video-based applications across various fields highlights their
importance in modern software systems. However, in comparison to images or text, labelling …

Abstract Graph Neural Networks (GNNs) have gained prominence in various domains, such
as social network analysis, recommendation systems, and drug discovery, due to their ability …

Recent AI-based technologies in mobile environments have enabled sign language
recognition, allowing deaf individuals to communicate effectively with hearing individuals …

Fairness is one of the socio-technical concerns that must be addressed in software systems.
Considering the popularity of mobile software applications (apps) among a wide range of …

With the growing application of AI-based systems in our lives and society, there is a rising
need to ensure that AI-based systems are developed and used in a responsible way …

Recent years have witnessed an astonishing explosion in the evolution of mobile
applications powered by deep learning (DL) technologies. Considering that inference of DL …

Access to education is a fundamental human right; however, girls and women in Afghanistan
face numerous restrictions and barriers that the Taliban regime has imposed. Despite these …