Social media has become a rich data source for natural language processing tasks with its worldwide use; however, it is hard to process social media data directly in language studies due to its unformatted nature. Text ...

Virtual reality (VR) is an increasingly widespread technology that provides a more realistic and fully immersive experience by using head-mounted displays (HMDs). However, this medium comes with some side effects. Users ...

The success and dependability of IoT applications are heavily dependent on data quality. Due to hardware problems, synchronization challenges, inconsistent network connectivity, and manual system shutdown, produced data ...

Classical machine learning paradigms typically centralize all data on a single server for training, which can lead to problems such as data confidentiality, storage costs, and bandwidth requirements for data transfer. To ...

Although numerous sign language datasets are available, they generally include only a small portion of the thousands of signs used worldwide. Furthermore, the creation of diverse sign language datasets is both costly and ...

Integrating advanced AI-driven question answering (QA) systems into educational settings offers significant potential for enhancing learning experiences. This study focuses on developing and optimizing an educational QA ...