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 …

ChatGPT is on the horizon: could a large language model be suitable for intelligent traffic safety research and applications?

O Zheng, M Abdel-Aty, D Wang, Z Wang… - arXiv preprint arXiv …, 2023 - arxiv.org
ChatGPT embarks on a new era of artificial intelligence and will revolutionize the way we
approach intelligent traffic safety systems. This paper begins with a brief introduction about …

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 …

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 …

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 …

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 …

Enabling resource-efficient aiot system with cross-level optimization: A survey

S Liu, B Guo, C Fang, Z Wang, S Luo… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The emerging field of artificial intelligence of things (AIoT, AI+ IoT) is driven by the
widespread use of intelligent infrastructures and the impressive success of deep learning …

[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 …