Gpt (generative pre-trained transformer)–a comprehensive review on enabling technologies, potential applications, emerging challenges, and future directions

G Yenduri, M Ramalingam, GC Selvi, Y Supriya… - IEEE …, 2024 - ieeexplore.ieee.org
The Generative Pre-trained Transformer (GPT) represents a notable breakthrough in the
domain of natural language processing, which is propelling us toward the development of …

[HTML][HTML] A review of IoT applications in healthcare

C Li, J Wang, S Wang, Y Zhang - Neurocomputing, 2023 - Elsevier
Abstract Integrating Internet of Things (IoT) technologies in the healthcare industry
represents a transformative shift with tangible benefits. This paper provides a detailed …

Machine learning for enhancing transportation security: A comprehensive analysis of electric and flying vehicle systems

H Alqahtani, G Kumar - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
This paper delves into the transformative role of machine learning (ML) techniques in
revolutionizing the security of electric and flying vehicles (EnFVs). By exploring key domains …

Efficient intrusion detection toward IoT networks using cloud–edge collaboration

R Yang, H He, Y Xu, B Xin, Y Wang, Y Qu, W Zhang - Computer Networks, 2023 - Elsevier
Abstract The Internet of Things (IoT) is increasingly utilized in daily life and industrial
production, particularly in critical infrastructures. IoT cybersecurity has an effect on people's …

End-edge-cloud collaborative computing for deep learning: A comprehensive survey

Y Wang, C Yang, S Lan, L Zhu… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
The booming development of deep learning applications and services heavily relies on
large deep learning models and massive data in the cloud. However, cloud-based deep …

Security Implications of Edge Computing in Cloud Networks

S Ahmadi - Journal of Computer and Communications, 2024 - hal.science
Security issues in cloud networks and edge computing have become very common. This
research focuses on analyzing such issues and developing the best solutions. A detailed …

[HTML][HTML] Blockchain technology meets 6 G wireless networks: A systematic survey

KMB Hasan, M Sajid, MA Lapina, M Shahid… - Alexandria Engineering …, 2024 - Elsevier
To address the limitations of 5 G, 6 G wireless networks are envisaged to provide sub-
millisecond latency, ultra-high connection density, extremely high data rates, better …

Edge learning for 6g-enabled internet of things: A comprehensive survey of vulnerabilities, datasets, and defenses

MA Ferrag, O Friha, B Kantarci… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The deployment of the fifth-generation (5G) wireless networks in Internet of Everything (IoE)
applications and future networks (eg, sixth-generation (6G) networks) has raised a number …

[HTML][HTML] Edgeaisim: A toolkit for simulation and modelling of ai models in edge computing environments

AR Nandhakumar, A Baranwal, P Choudhary… - Measurement …, 2024 - Elsevier
To meet next-generation Internet of Things (IoT) application demands, edge computing
moves processing power and storage closer to the network edge to minimize latency and …

Carbon emission flow based energy routing strategy in energy internet

H Hua, J Shi, X Chen, Y Qin, B Wang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In the energy Internet (EI), energy can flow likewise information routing. Notably, under the
graph-structured regional EI scenario, the energy routing path with the least power losses …