Word segmentation is an important step in NLP preprocessing, even more so in languages such as Modern Standard Arabic, where script conventions amalgamate words and whose morphology is complex....
The focus of this study is to develop a design for a zero-head turbine for hydro-power generation at flow and zero-head operating conditions. Two key simulations were applied to...
Comparing the Performance of a CDC Questionnaire with Machine Learning Models in Predicting Diabetes
This paper addresses the pressing issue of diabetes, a primary global health concern, by comparing machine learning models and a Centers for Disease Control and Prevention (CDC) questionnaire for...
This narrative systematic review examines how university culture impacts the effectiveness of innovative technologies in higher education, particularly with the growing focus on success metrics within quality culture frameworks....
Facial recognition systems has been adopted widely now in security systems of today’s world but the drawbacks methodologies lack capability to identify suspicious activities. Other approaches, including CNNs applied...
This study investigates the impact of green product awareness and green pricing on consumer purchase intentions within the context of Starbucks in Bahrain. Despite the increasing demand for sustainable...
This paper presents a comprehensive framework for testing and evaluating quality characteristics of Large Language Model (LLM) systems enhanced with Retrieval-Augmented Generation (RAG) in tourism applications. Through systematic empirical...
Artificial Intelligence (AI) plays an increasingly influential role in the digital transformation of higher education, promising enhanced administrative efficiency, personalized learning experiences, and improved teaching practices. In the Kingdom...
The humanitarian sector is being forced to adapt its way of providing aid services; for instance, donors expect to see improvements in efficiency, effectiveness, and data visibility of service...
Safety critical decision making in the petroleum industry heavily relies on the retrieval of accurate and context specific technical knowledge. However, the mechanisms used currently for obtaining information manually...