Henry gas solubility optimization with deep learning enabled traffic flow forecasting in 6G enabled vehicular networks

J Escorcia‐Gutierrez, M Torres‐Torres… - AI‐Enabled 6G …, 2023 - Wiley Online Library
Vehicular ad hoc network (VANET) becomes an important area of forthcoming 6G network.
The utilization of 6G networks enables the achievement of maximum availability, reliability …

Emerging Perspectives on Diverse Nature-Oriented Sustainability Strategies

A Tiwary, N Brown - Sustainability, 2024 - mdpi.com
Increasing levels of nature-oriented sustainability strategies (NOSSs) are being recognized
as offering solutions to combat climate change at scale, both through transformative …

Lattice-Based Cryptography and Fog Computing Based Efficient Anonymous Authentication Scheme for 5G-Assisted Vehicular Communications

ZG Al-Mekhlafi, HDK Al-Janabi, A Khalil… - IEEE …, 2024 - ieeexplore.ieee.org
Vehicular fog systems that are enabled by fifth-generation (5G) networks can significantly
improve traffic safety and efficiency through vehicle-to-vehicle communication. Vehicles …

Optimization of Space-Time image velocimetry based on deep residual learning

Y Huang, H Chen, K Huang, M Chen, J Wang, B Liu - Measurement, 2024 - Elsevier
Abstract Space-Time Image Velocimetry (STIV) is considered to be a highly promising
method for river flow measurement due to its safe and efficient features. However, the …

Trustworthy Artificial Intelligence Methods for Users' Physical and Environmental Security: A Comprehensive Review

S Szymoniak, F Depta, Ł Karbowiak, M Kubanek - Applied Sciences, 2023 - mdpi.com
Artificial Intelligence is an indispensable element of the modern world, constantly evolving
and contributing to the emergence of new technologies. We meet it in everyday applications …

A systematic literature review of vehicle-to-everything in communication, computation and service scenarios

S Lv, Y Qin, W Gan, Z Xu, L Shi - International Journal of General …, 2024 - Taylor & Francis
The notion of vehicle-to-everything (V2X) has been adopted and developed in a host of
application scenarios due to its wide compatibility with intelligent transport, smart city or …

Fault Prediction and Recovery Using Machine Learning Techniques and the HTM Algorithm in Vehicular Network Environment

S Zidi, B Alaya, T Moulahi… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
The amount of data available to vehicles has become very large in the vehicular networks'
environment. Failures that mislead real-time data from vehicle sensors and other devices …

Generative Boltzmann adversarial network in Manet attack detection and QOS enhancement with latency

AK Marandi, R Dogra, R Bhatt, R Gupta… - International …, 2022 - search.proquest.com
Abstract Mobile Ad-Hoc Network (MANET) are considered as self-configured network those
does not have any centralized base station for the network monitoring and control. MANET …

Wsn architectures for environmental monitoring applications

KS Adu-Manu, JD Abdulai, F Engmann… - Journal of …, 2022 - Wiley Online Library
Wireless sensor networks (WSNs) have become ubiquitous, permeating every aspect of
human life. In environmental monitoring applications (EMAs), WSNs are essential and …

Vehicular Ad-hoc Network (VANET)–A Review

AG Hameed, MS Mahmoud - 2022 Iraqi International …, 2022 - ieeexplore.ieee.org
This paper explores VANET topics: architecture, characteristics, security, routing protocols,
applications, simulators, and 5G integration. We update, edit, and summarize some of the …