An edge-AI-enabled autonomous connected ambulance-route resource recommendation protocol (ACA-R3) for eHealth in smart cities

ST Ahmed, SM Basha… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
The autonomous connected ambulance (ACA) has been an unprecedented necessity in the
demand–supply management sector of the healthcare sector. However, the traditional …

BDEdge: Blockchain and deep-learning for secure edge-envisioned green CAVs

P Kumar, R Kumar, GP Gupta… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Green Connected and Autonomous Vehicles (CAVs) are the future of next-generation
Intelligent Transportation Systems (ITS) that will help humans to improve road safety and …

Malicious url detection using logistic regression

R Chiramdasu, G Srivastava… - … conference on omni …, 2021 - ieeexplore.ieee.org
One of the major challenges faced by the Internet in the present day is to deal with achieving
web security from ever-rising diverse types of threats. Machine learning algorithms offer …

Dynamic server placement in edge computing toward internet of vehicles

B Shen, X Xu, L Qi, X Zhang, G Srivastava - Computer Communications, 2021 - Elsevier
Facing serious challenges in bandwidth and delay, currently adopted cloud computing is no
longer effective for providing real-time Internet of Vehicles (IoV) services in the intelligent …

An efficient identity-based aggregate signcryption scheme with blockchain for IoT-enabled maritime transportation system

Y Yang, D He, P Vijayakumar… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Maritime transportation has ushered in a period of vigorous development and has been the
most critical mode of transport in international trade. Maritime communication is also …

Smart composite materials and IoT: Revolutionizing real-time railway health monitoring

L Duan, J Liu - MRS Communications, 2024 - Springer
This paper explores the integration of smart composite materials and IoT technologies for
revolutionizing real-time railway health monitoring. The study highlights the significance of …

Reinforcing communication on the internet of aerial vehicles

MA Hassan, AR Javed, T Hassan… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The increasing demand for green Unmanned Aerial Vehicles (UAVs) in civil and military
applications has been noticed in the last few decades. As a result, Flying Ad-hoc Networks …

Dynamic incremental ensemble fuzzy classifier for data streams in green internet of things

J Jiang, F Liu, WWY Ng, Q Tang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Due to the fast, dynamic, and continuous arrival of data streams in the green Internet of
Things (IoT) environment, the probability distribution of data streams changes over time. In …

[HTML][HTML] TrackSafe: A comparative study of data-driven techniques for automated railway track fault detection using image datasets

MG Minguell, R Pandit - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Railway track accidents continue to occur despite manual inspections, which are often
inaccurate and can lead to catastrophic events. While artificial intelligence has been applied …

Real-time quality inspection of motor rotor using cost-effective intelligent edge system

Q Zhu, J Lu, X Wang, H Wang, S Lu… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Induction motors (IMs) are used extensively as driving actuators in electric vehicles. Motor
rotors are prone to defects in the die casting procedure, which can significantly reduce the …