The Internet of Things (IoT) continues to grow at remarkable speed, connecting different devices and facilitating communication and data exchange. Ambient Backscatter Communication (AmBC) has emerged as a low-power,...
The current study aims to design and optimize the performance of vertical axial turbines (VAWT) for urban cities. Utilizing wind turbines in such conditions faces challenges like weak and...
We explore a Digital Twin-Based Approach for Smart Manufacturing to improve Sustainability, Efficiency, and Cost-Effectiveness for a steel production plant. Our system is based on a micro-service edge-compute platform...
The integration of AI and IoT in healthcare, particularly through the Internet of Medical Things (IoMT), is revolutionizing medical care by enhancing efficiency and personalization. These technologies enable more...
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...
Low-velocity impacts on aerospace and structural components can lead to sudden failures, resulting in costly repairs and safety concerns. Selecting materials that can withstand such impacts is therefore critical...
Artificial Intelligence and big data technologies are the rising tides of strategic decision-making in higher education. This research introduces a comprehensive framework that leverages advanced AI technologies to provide intelligent, data-driven...
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...