22 citations · 44 across the 9 of their papers we have counts for
11 papers
Hybrid Quantum-Classical Neural Network for Cloud-supported In-Vehicle Cyberattack Detection
Mhafuzul Islam, Mashrur Chowdhury, Zadid Khan +1
A classical computer works with ones and zeros, whereas a quantum computer uses ones, zeros, and superpositions of ones and zeros, which enables quantum computers to perform a vast…
Hybrid Quantum-Classical Neural Network for Incident Detection
Zadid Khan, Sakib Mahmud Khan, Jean Michel Tine +7
The efficiency and reliability of real-time incident detection models directly impact the affected corridors' traffic safety and operational conditions. The recent emergence of clo…
Hybrid Classical-Quantum Deep Learning Models for Autonomous Vehicle Traffic Image Classification Under Adversarial Attack
Reek Majumder, Sakib Mahmud Khan, Fahim Ahmed +6
Image classification must work for autonomous vehicles (AV) operating on public roads, and actions performed based on image misclassification can have serious consequences. Traffic…
Security of Connected and Automated Vehicles
Mashrur Chowdhury, Mhafuzul Islam, Zadid Khan
The transportation system is rapidly evolving with new connected and automated vehicle (CAV) technologies that integrate CAVs with other vehicles and roadside infrastructure in a c…
An Evaluation Framework of End-to-End 5G Millimeter Wave Communication for Connected Vehicle Applications
Zadid Khan, Sakib Mahmud Khan, Mashrur Chowdhury +2
The internet-of-things (IoT) environment connects different intelligent devices together and enables seamless data communication between the connected devices. Connected vehicles (…
Grey Models for Short-Term Queue Length Predictions for Adaptive Traffic Signal Control
Gurcan Comert, Zadid Khan, Mizanur Rahman +1
Traffic congestion at a signalized intersection greatly reduces the travel time reliability in urban areas. Adaptive signal control system (ASCS) is the most advanced traffic signa…