An overview of VANET vehicular networks
A Hozouri, A Mirzaei, S RazaghZadeh… - arXiv preprint arXiv …, 2023 - arxiv.org
Today, with the development of intercity and metropolitan roadways and with various cars
moving in various directions, there is a greater need than ever for a network to coordinate …
moving in various directions, there is a greater need than ever for a network to coordinate …
Feature selection-based intrusion detection system using genetic whale optimization algorithm and sample-based classification
Preventing and detecting intrusions and attacks on wireless networks has become an
important and serious challenge. On the other hand, due to the limited resources of wireless …
important and serious challenge. On the other hand, due to the limited resources of wireless …
Cooperative virtual connectivity control in uplink small cell network: towards optimal resource allocation
Nowadays, the application of soft computational techniques in power systems has been
increasing with good acceptance under the machine learning umbrella. In this paper, first we …
increasing with good acceptance under the machine learning umbrella. In this paper, first we …
Flocking-based self-organized aggregation behavior method for swarm robotics
The aggregation behavior shown by swarm robots to establish coordination among each
other is a basic behavior that is used in swarm robotics. This study proposes an aggregation …
other is a basic behavior that is used in swarm robotics. This study proposes an aggregation …
An optimized multi-layer resource management in mobile edge computing networks: a joint computation offloading and caching solution
Nowadays, data caching is being used as a high-speed data storage layer in mobile edge
computing networks employing flow control methodologies at an exponential rate. This study …
computing networks employing flow control methodologies at an exponential rate. This study …
[PDF][PDF] Fraud detection in health insurance using a combination of feature subset selection based on squirrel optimization algorithm and nearest neighbors algorithm …
Insurance fraud is one of the most expensive financial crimes in economics. Deliberate fraud
in insurance companies that leads to the illegal payment of insurance benefits to an …
in insurance companies that leads to the illegal payment of insurance benefits to an …
Detection of fraudulent financial papers by picking a collection of characteristics using optimization algorithms and classification techniques based on squirrels
M Najarbashi - arXiv preprint arXiv:2211.07747, 2022 - arxiv.org
To produce important investment decisions, investors require financial records and
economic information. However, most companies manipulate investors and financial …
economic information. However, most companies manipulate investors and financial …
Edge-computing Enabled Next Generation Wireless Networks: A Novel Approach to Provide Secure Multicast Services
F Sorouri - arXiv preprint arXiv:2202.03134, 2022 - arxiv.org
Smart grids have received much attention in recent years in order to optimally manage the
resources, transmission and consumption of electric power. In these grids, one of the most …
resources, transmission and consumption of electric power. In these grids, one of the most …
Where Optimization Meets Big Data: A Review
R Shahbazian, F Guerriero - Future Trends of HPC in a …, 2019 - ebooks.iospress.nl
Internet, media, mobile devices, and sensors continuously collect massive amounts of data.
Learning from this data gives improvements in science and quality of life. Big Data is a big …
Learning from this data gives improvements in science and quality of life. Big Data is a big …
[PDF][PDF] An Optimized Multi-Layer Resource Management in Mobile Edge Computing
Nowadays, data caching is being used as a high-speed data storage layer in mobile edge
computing networks employing flow control methodologies at an exponential rate. This study …
computing networks employing flow control methodologies at an exponential rate. This study …