Current calculation methods for the carbon content as received (Car) of coal rely on multiple
instruments, leading to high costs for enterprises. There is a need for a cost-effective model …

The use of machine translation has become a topic of debate in language learning, which
highlights the need to thoroughly examine the appropriateness and role of machine …

Introduction In high-stakes environments such as aviation, monitoring cognitive, and mental
health is crucial, with electroencephalogram (EEG) data emerging as a keytool for this …

The translation activity of language is a link and bridge for the integration of politics,
economy, and culture in various countries. However, manual translation requires high …

In an increasingly interconnected world, the demand for accurate Arabic-English translation
has surged, highlighting the complexities in handling Arabic's intricate morphology and …

This study examines the efficacy and accuracy of Automatic Translation (AT) compared to
Human Translation (HT), employing the Bilingual Evaluation Understudy (BLEU) metric for …

Introducing the application of hand gestures in human-computer interaction, this study
presents a novel approach that employs artificial neural networks (ANNs) to analyze muscle …

Due to their dramatic improvements, the employment of machine translators constitutes a
significant part of our everyday life. Nowadays, systems such as Neural Machine Translation …