Energy efficiency of connected autonomous vehicles: A review

H Faghihian, A Sargolzaei - Electronics, 2023 - mdpi.com
Connected autonomous vehicles (CAVs) have emerged as a promising solution for
enhancing transportation efficiency. However, the increased adoption of CAVs is expected …

Software testing using an adaptive genetic algorithm

AH Damia, M Esnaashari… - Journal of AI and Data …, 2021 - jad.shahroodut.ac.ir
In the structural software test, test data generation is essential. The problem of generating
test data is a search problem, and for solving the problem, search algorithms can be used …

Impact evaluation of cyberattacks on connected and automated vehicles in mixed traffic flow and its resilient and robust control strategy

T Wang, M Tu, H Lyu, Y Li, O Orfila, G Zou, D Gruyer - Sensors, 2022 - mdpi.com
Connected and automated vehicles (CAVs) present significant potential for improving road
safety and mitigating traffic congestion for the future mobility system. However, cooperative …

Designing and testing a secure cooperative adaptive cruise control under false data injection attack

J Cunningham-Rush, J Holland, S Noei… - … IEEE Conference on …, 2023 - ieeexplore.ieee.org
Cooperative adaptive cruise control (CACC) is one of the many advanced driver assistance
systems (ADAS) that utilize communication between nearby vehicles to maintain speed …

Using Supervised Learning Models for Creating a New Fake News Analysis and Classification of a COVID-19 Dataset: A case study on Covid-19 in Iran

M Parvizimosaed, M Esnaashari… - … Conference on Web …, 2022 - ieeexplore.ieee.org
Today, the growth of the coronavirus as a pandemic and its global expansion is a significant
concern in our society and the international community. However, in recent years, many …

Secure Control Design for Cooperative Adaptive Cruise Control Under False Data Injection Attack

P Ansari-Bonab, JC Holland… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Cooperative adaptive cruise control (CACC) is one of the many advanced driver assistance
systems (ADAS) that leverage communication between nearby vehicles to maintain speed …

A secure hybrid permissioned blockchain and deep learning platform for CT image classification

M Noei, M Parvizimosaed, AS Bigdeli… - … on Machine Vision …, 2022 - ieeexplore.ieee.org
Pneumonia is a life-threatening and prevalent disease and needs to be diagnosed within a
short time because of the lungs' fluid flow. Late detection of the disease may result in the …

Driving Intention Inference Based on a Deep Neural Network with Dropout Regularization from Adhesion Coefficients in Active Collision Avoidance Control Systems

Y Lian, J Huang, S Liu, Z Sun, B Li, Z Nie - Electronics, 2022 - mdpi.com
Driving intention, which can assist drivers to avoid dangerous emergence for the advanced
driver assistant systems (ADAS), can be hardly described accurately for complex traffic …

Hybrid flow-rule placement method of proactive and reactive in SDNs

M Khoobbakht, M Noei… - 2021 11th International …, 2021 - ieeexplore.ieee.org
In a software-defined network, the controller is an important element based on its effect on
the entire network performance. The centralized controller property will lead to flexibility and …

Employing a Model of Computation for Testing and Verifying the Security of Connected and Autonomous Vehicles

AJ Alnaser, J Holland, A Sargolzae - SAE International Journal of …, 2024 - sae.org
Testing and verifying the security of connected and autonomous vehicles (CAVs) under
cyber-physical attacks is a critical challenge for ensuring their safety and reliability …