Trends and emerging technologies for the development of electric vehicles

T Mo, Y Li, K Lau, CK Poon, Y Wu, Y Luo - Energies, 2022 - mdpi.com
In response to severe environmental and energy crises, the world is increasingly focusing
on electric vehicles (EVs) and related emerging technologies. Emerging technologies for …

A structured analysis to study the role of machine learning and deep learning in the healthcare sector with big data analytics

J Kumari, E Kumar, D Kumar - Archives of Computational Methods in …, 2023 - Springer
Abstract Machine and deep learning are used worldwide. Machine Learning (ML) and Deep
Learning (DL) are playing an increasingly important role in the healthcare sector, particularly …

A cybertwin based multimodal network for ecg patterns monitoring using deep learning

W Qi, H Su - IEEE Transactions on Industrial Informatics, 2022 - ieeexplore.ieee.org
In next-generation network architecture, the Cybertwin drove the sixth generation of cellular
networks sixth-generation (6G) to play an active role in many applications, such as …

A provably secure key transfer protocol for the fog-enabled Social Internet of Vehicles based on a confidential computing environment

CM Chen, Z Li, S Kumari, G Srivastava… - Vehicular …, 2023 - Elsevier
In recent years, the Social Internet of Vehicles (SI o V) has been widely used in
transportation, dramatically enhancing people's lifestyles. SI o V can collect and process …

An IoT and machine learning‐based routing protocol for reconfigurable engineering application

Y Natarajan, K Srihari, G Dhiman… - IET …, 2022 - Wiley Online Library
With new telecommunications engineering applications, the cognitive radio (CR) network‐
based internet of things (IoT) resolves the bandwidth problem and spectrum problem …

IFND: a benchmark dataset for fake news detection

DK Sharma, S Garg - Complex & intelligent systems, 2023 - Springer
Spotting fake news is a critical problem nowadays. Social media are responsible for
propagating fake news. Fake news propagated over digital platforms generates confusion …

Semantic communication for the internet of vehicles: A multiuser cooperative approach

W Xu, Y Zhang, F Wang, Z Qin, C Liu… - IEEE Vehicular …, 2023 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) is expected to become the central infrastructure to provide
advanced services to connected vehicles and users for higher transportation efficiency and …

An overview of eco-driving theory, capability evaluation, and training applications

N Xu, X Li, Q Liu, D Zhao - Sensors, 2021 - mdpi.com
Constrained by traditional fuel-saving technologies that have almost reached the limit of fuel-
saving potential, the difficulty in changing urban congestion, and the low market penetration …

A perspective on managing cities and citizens' well-being through smart sensing data

M Caratù, I Pigliautile, C Piselli, C Fabiani - Environmental Science & Policy, 2023 - Elsevier
Urban development and growth have a significant impact on the environment, contributing to
ongoing climate change and affecting the resilience of urban communities. However, cities …

The Internet of Vehicles and Sustainability—Reflections on Environmental, Social, and Corporate Governance

M Kostrzewski, M Marczewska, L Uden - Energies, 2023 - mdpi.com
The Internet of Vehicles (IoV) has generated great interest among researchers from different
disciplines as it is multidisciplinary research. Sustainability for the IoV requires solutions …