A survey of machine learning techniques applied to software defined networking (SDN): Research issues and challenges
In recent years, with the rapid development of current Internet and mobile communication
technologies, the infrastructure, devices and resources in networking systems are becoming …
technologies, the infrastructure, devices and resources in networking systems are becoming …
Machine learning technologies for secure vehicular communication in internet of vehicles: recent advances and applications
Recently, interest in Internet of Vehicles'(IoV) technologies has significantly emerged due to
the substantial development in the smart automobile industries. Internet of Vehicles' …
the substantial development in the smart automobile industries. Internet of Vehicles' …
Machine learning models and techniques for VANET based traffic management: Implementation issues and challenges
S Khatri, H Vachhani, S Shah, J Bhatia… - Peer-to-Peer Networking …, 2021 - Springer
Low latency in communication among the vehicles and RSUs, smooth traffic flow, and road
safety are the major concerns of the Intelligent Transportation Systems. Vehicular Ad hoc …
safety are the major concerns of the Intelligent Transportation Systems. Vehicular Ad hoc …
A review of artificial intelligence and machine learning for incident detectors in road transport systems
Road transport is the most prone to accidents, resulting in significant fatalities and injuries. It
also faces a plethora of never-ending problems, such as the frequent loss of lives and …
also faces a plethora of never-ending problems, such as the frequent loss of lives and …
Big data analytics for large-scale wireless networks: Challenges and opportunities
The wide proliferation of various wireless communication systems and wireless devices has
led to the arrival of big data era in large-scale wireless networks. Big data of large-scale …
led to the arrival of big data era in large-scale wireless networks. Big data of large-scale …
[HTML][HTML] A review of the use of artificial intelligence methods in infrastructure systems
L McMillan, L Varga - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
The artificial intelligence (AI) revolution offers significant opportunities to capitalise on the
growth of digitalisation and has the potential to enable the 'system of systems' approach …
growth of digitalisation and has the potential to enable the 'system of systems' approach …
NBC-MAIDS: Naïve Bayesian classification technique in multi-agent system-enriched IDS for securing IoT against DDoS attacks
Abstract Internet of Things (IoT) makes physical objects and devices interact with each other
through wireless technologies. IoT is expected to deliver a significant role in our lives in near …
through wireless technologies. IoT is expected to deliver a significant role in our lives in near …
A blockchain based federated learning for message dissemination in vehicular networks
Message exchange among vehicles plays an important role in ensuring road safety.
Emergency message dissemination is usually carried out by broadcasting. However, high …
Emergency message dissemination is usually carried out by broadcasting. However, high …
QGeo: Q-Learning-Based Geographic Ad Hoc Routing Protocol for Unmanned Robotic Networks
This letter proposes a novel protocol that uses Q-learning-based geographic routing (QGeo)
to improve the network performance of unmanned robotic networks. A rapid and reliable …
to improve the network performance of unmanned robotic networks. A rapid and reliable …
Q-learning-based fuzzy logic for multi-objective routing algorithm in flying ad hoc networks
Flying ad hoc networks (FANETs) that consist of multiple unmanned aerial vehicles (UAVs)
have developed owing to the rapid technological evolution of electronics, sensors, and …
have developed owing to the rapid technological evolution of electronics, sensors, and …