Abstract Machine Learning (ML) is growing in popularity and is applied in numerous fields to solve complex problems. Opportunistic Networks are a type of Ad-hoc Network where a …
Q Wang, W Li, A Mohajer - Computer Networks, 2024 - Elsevier
In the realm of next-generation mobile communication networks, characterized by dynamic and evolving workloads, the efficient resource allocation becomes paramount for achieving …
Digital twin (DT) technology, which can provide larger and more accurate amounts of data, combined with the additional computility brought by virtual environments, can support more …
M Ávalos-Arce, H Pérez-Díaz, C Del-Valle-Soto… - Informatics, 2024 - mdpi.com
Wireless networks play a pivotal role in various domains, including industrial automation, autonomous vehicles, robotics, and mobile sensor networks. This research investigates the …
H Thanganadar, SM Yaseen, SK Shukla… - Wireless Personal …, 2024 - Springer
The ground-breaking paradigm of artificial intelligence (AI) will provide universal access to sixth generation (6G) edge computing-based E-healthcare. Internet world, where people …
H Hu, X Zheng - Wireless Personal Communications, 2024 - Springer
A new paradigm and technology at vanguard of Industry 4.0 revolution is digital twin (DT), which seeks to use virtual counterpart in real time to describe behaviours of physical things …
K Obaideen, M AlShabi… - Sensing for Agriculture and …, 2024 - spiedigitallibrary.org
The Terahertz (THz) spectrum, situated between microwave and infrared frequencies, is utilized for applications such as imaging and chemical analysis. This project aims to …
In order to improve automated waste treatment system, this work investigates the combination of bioelectric sensors, internet of things (IoT), and long short-term memory …
M Shabaz, M Soni - Journal of Computational and Cognitive …, 2022 - ojs.bonviewpress.com
Person re-identification is a crucial field in computer vision with significant challenges, including illumination, occlusion, pose variation, and feature variation in complex …