The rapid rise of Generative AI tools like ChatGPT in education has sparked debate about their long-term effects on students’ cognitive development. While these tools provide personalized learning and...
The integration of Artificial Intelligence into healthcare is transforming systems worldwide. However, the success of this transformation depends on more than simply the adoption of technology. This study offers...
The rapid evolution of cyber-physical smart cities necessitates intelligent, adaptive systems capable of handling vast urban complexities. Therefore, a Cognitive Digital Twin (CDT) framework built on real time sensor...
Multi-Criteria Decision-Making (MCDM) techniques play a critical role in solving complex decision problems involving multiple conflicting criteria across various domains. The Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE)...
The depletion of resources has made continuous challenges for the global energy sector and pushed the experts to develop and innovate sustainable solutions to face such challenges. The hydrodynamic...
In the era of smart cities, efficient resource allocation is critical for seamless task execution and minimizing latency. This study introduces a hybrid computing framework integrated with SUMO (Simulation...
Properly managing waste generated by buildings and public works is a significant challenge in Tunisia, particularly in the city of Bizerte. The inadequate disposal of such waste can cause...
This paper presents predictive analytics for chronic kidney disease (CKD) based on clinical features using a powerful deep learning-based model. We tested performance of four existing best deep learning...
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 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...