The vehicular adhoc network (VANET) is an emerging research topic in the intelligent
transportation system that furnishes essential information to the vehicles in the network …

The most widely used multi-view clustering approaches can be classified into different
groups: Subspace multi-view clustering algorithms, multi-view kernel approaches, matrix …

Security and privacy while considering vehicular networks are important research topics.
Appropriate clustering algorithms enable long-distance communications in highly dynamic …

Routing protocols in vehicular ad-hoc networks (VANETs) are typically challenged by high
vehicular mobility and changing network topology. It becomes more apparent as the …

In this paper, we propose an adaptive vehicle clustering algorithm based on fuzzy C-means
algorithm, which aims at minimizing power consumption of the vehicles. Specifically, the …

Achieving security and privacy preservation considering the network dynamics and
overhead is a vital research problem. Long-distance communications in highly dynamic …

A research is an intellectual system, the vehicular adhoc network (VANET), supplies cars in
the network with critical information. Over 150,000 individuals are impacted by traffic …

Vehicular ad hoc Network (VANET) is one of the recently growing trends which motivate the
provision of several service providers in the urban areas. In VANETs, the vehicles represent …

Recently, clustering data collected from various sources has become a hot topic in real-
world applications. The most common methods for multi-view clustering can be divided into …

This paper focuses on the development of a knowledge-based system for automatically
diagnosing issues in Vehicular ad hoc networks (VANETs). VANETs enable communication …