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07/03/2023
Autonomous Vehicles for All?
The traditional build-and-expand approach is not a viable solution to ke...
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04/25/2022
A Hybrid Defense Method against Adversarial Attacks on Traffic Sign Classifiers in Autonomous Vehicles
Adversarial attacks can make deep neural network (DNN) models predict in...
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10/14/2021
Hybrid Quantum-Classical Neural Network for Cloud-supported In-Vehicle Cyberattack Detection
A classical computer works with ones and zeros, whereas a quantum comput...
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08/02/2021
Hybrid Quantum-Classical Neural Network for Incident Detection
The efficiency and reliability of real-time incident detection models di...
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08/02/2021
Hybrid Classical-Quantum Deep Learning Models for Autonomous Vehicle Traffic Image Classification Under Adversarial Attack
Image classification must work for autonomous vehicles (AV) operating on...
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08/02/2021
Efficacy of Statistical and Artificial Intelligence-based False Information Cyberattack Detection Models for Connected Vehicles
Connected vehicles (CVs), because of the external connectivity with othe...
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08/14/2020
An Evaluation Framework of End-to-End 5G Millimeter Wave Communication for Connected Vehicle Applications
The internet-of-things (IoT) environment connects different intelligent ...
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10/23/2019
Development and evaluation of an open-source, machine learning-based average annual daily traffic estimation software
Traditionally, Departments of Transportation (DOTs) use the factor-based...
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08/02/2019
Situation-Aware Left-Turning Connected and Automated Vehicle Operation at Signalized Intersections
One challenging aspect of the Connected and Automated Vehicle (CAV) oper...
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12/02/2018
Connected Vehicle Application Development Platform (CVDeP) for Edge-centric Cyber-Physical Systems
Connected vehicle (CV) application developers need a development platfor...
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08/14/2018
Feasibility of 5G mm-wave communication for connected autonomous vehicles
The internet-of-things (IoT) environment holds different intelligent com...
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03/06/2018
