Nature has always been one of the major sources of inspiration and has shown humans many ways to explore; among the best-known examples is the artificial intelligence swarm algorithm, which copies the group behavior of social animals in nature. The Fitness-Dependent Optimizer (FDO) was presented in 2019. It is a swarm …
MXene supercapacitors have been identified as the most promising advanced-generation electrochemical energy storage devices due to their unique features, including metallic nature, tunable surface chemistry, hydrophilicity, layered structure, and superb pseudocapacitance. However, pristine MXenes suffer from inherent d …
The continuous growth of virtual reality (VR), augmented reality (AR), and telepresence applications within IMT 2030 networks has introduced new challenges in providing reliable communication and computational resources. These emerging services require flexible, scalable, and high-performance network infrastructures ca …
In this study, we are addressing the important issue of leaf disease detection and classification for date palm plants, which is a major crop for the economy of arid and semi-arid countries. The height of the trees and the commonality of disease symptoms often hamper the use of standard inspection methods, resulting in …
The performance of a nanofluid-cooled PVT collector can be represented by its electrical and thermal efficiencies. The sum of the two efficiencies, known as the overall PVT system efficiency, is used to evaluate the overall system performance. A PVT system powered by a Multi-Wall Carbon Nanotube (MWCNT) nanofluid was c …
Myocardial infarction (MI) detection from 12-lead ECG signals is a critical clinical task, yet two key barriers limit the deployment of deep learning models: data privacy regulations that restrict cross-institutional patient data sharing, and severe class imbalance across heterogeneous hospital populations. This paper …
This study presents an in-depth experimental investigation into the effects of varying bed materials on flow velocity distribution in open channels—a critical consideration in hydraulic engineering and sustainable water resource management (Ab Ghani ,2018). Conducted within a controlled laboratory flume setup, the rese …
The study investigates the impact of seismic forces on structural response using a machine learning (ML)–based approach. The study has utilized scaled structural models and subjected them to control shaking table excitations representing low, medium, and high earthquake intensities. A linear regression–based ML model w …
Unmanned aerial vehicles (UAVs)-assisted communication systems present a cost-effective solution for ad-hoc network operations. In mission-critical applications like surveillance, UAVs can function as aerial relays, particularly when multiple UAVs collaborate. This collaborative approach proves to be more efficient and …
The main aim of this study is to provide conceptual design elements for tracking and monitoring animals, specifically camels, for the purpose of complete prototyping, considering ensuring precise location tracking and enhancing security. The primary innovative monitoring approaches in our system implementation are the …