This paper explores the integration of Location Information-based Routing (LIBRO) protocol into Energy Harvesting-based Cognitive Radio Wireless Sensor Networks (EH-CWSNs) to address energy consumption challenges and ensure sustainable operation....
Over recent years, research has continued on the subject of Ambient Backscatter Communication (AmBC), owing to the low-power, passive nature of this technology. It shows great promise for the...
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 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...
The aim of this paper is to present guidelines to build the best and biggest possible silver corpus for word segmentation in Modern Standard Arabic, which should be open...
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...