An LSTM-based network slicing classification future predictive framework for optimized resource allocation in C-V2X

MS Abood, H Wang, D He, M Fathy, SA Rashid… - IEEE …, 2023 - ieeexplore.ieee.org
With the advent of 5G communication networks, many novel areas of research have
emerged and the spectrum of communicating objects has been diversified. Network …

Efficient Routing Algorithm Towards the Security of Vehicular Ad-Hoc Network and Its Applications

F Qazi, SA Khan, F Hanif, DS Agha - International Journal of Wireless …, 2024 - Springer
A mobile ad hoc network (MANET) is a cluster of wireless mobile devices that can create a
temporary network without seeking the support of any central management or infrastructure …

A Semi-Automated Solution Approach Recommender for a Given Use Case: a Case Study for AI/ML in Oncology via Scopus and OpenAI

DK Kılıç, AE Vasegaard, A Desoeuvres… - Human-Centric Intelligent …, 2024 - Springer
Nowadays, literature review is a necessary task when trying to solve a given problem.
However, an exhaustive literature review is very time-consuming in today's vast literature …

An efficient model for vehicular ad hoc networks using machine learning and high-performance computing

A Tripathi, S Prakash, PK Tiwari, J Lloret… - The Journal of …, 2024 - Springer
Vehicular ad hoc networks (VANETs) are recent advancements that permit vehicles to
communicate with infrastructure and other vehicles, improving road safety and traffic …

SDCast: A Software-Defined Networking Based Clustered Routing Protocol for Vehicular Ad-Hoc Networks

A Nahar, D Das - Wireless Personal Communications, 2023 - Springer
The field of vehicular ad hoc networks (VANETs) has made significant advances in recent
years by merging software-defined networking (SDN) with reinforcement learning (RL) …

[HTML][HTML] Adaptive QoS-Aware Multi-Metrics Gateway Selection Scheme for Heterogenous Vehicular Network

M Alawi, R Alsaqour, M Abdelhaq, R Alkanhel… - Systems, 2022 - mdpi.com
A heterogeneous vehicular network (HetVNET) is a promising network architecture that
combines multiple network technologies such as IEEE 802.11 p, dedicated short-range …

LiPar: A Lightweight Parallel Learning Model for Practical In-Vehicle Network Intrusion Detection

A Zhang, K Wang, B Wang, Y Wu - arXiv preprint arXiv:2311.08000, 2023 - arxiv.org
With the development of intelligent transportation systems, vehicles are exposed to a
complex network environment. As the main network of in-vehicle networks, the controller …

A secure routing protocol using trust‐based clustering and bionic intelligence algorithm for UAV‐assisted vehicular ad hoc networks

D Babu, TS Rao - Transactions on Emerging …, 2024 - Wiley Online Library
Vehicular ad hoc networks (VANET) are one of the advanced technologies for distributing
dynamic vehicular information across the globe. The VANET is extensively used in many …

Designing adaptive smart buildings: an RNN and Migrating Birds Optimization approach for occupancy prediction

MT Abid, M Abu-shaikha, H Al-Bdour… - Asian Journal of Civil …, 2024 - Springer
Within the dynamic field of modern architecture and infrastructure, the concept of intelligent
building adaptation arises as a fundamental element in attaining both energy efficiency and …

Incremental Online Machine Learning for Detecting Malicious Nodes in Vehicular Communications Using Real-Time Monitoring

S Ajjaj, S El Houssaini, M Hain, MA El Houssaini - Telecom, 2023 - mdpi.com
Detecting malicious activities in Vehicular Ad hoc Networks (VANETs) is an important
research field as it can prevent serious damage within the network and enhance security …