Neda Masoud
Orcid: 0000-0002-6526-3317
According to our database1,
Neda Masoud
authored at least 22 papers
between 2017 and 2023.
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Bibliography
2023
A Hierarchical Vehicle Behavior Prediction Framework With Traffic Signals and Interactive Agents.
IEEE Trans. Intell. Transp. Syst., October, 2023
Proceedings of the International Conference on Control, Automation and Diagnosis, 2023
2022
Transp. Sci., 2022
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Trans. Intell. Transp. Syst., 2022
Digital twin-driven deep reinforcement learning for adaptive task allocation in robotic construction.
Adv. Eng. Informatics, 2022
2021
IEEE Trans. Intell. Transp. Syst., 2021
Real-Time Sensor Anomaly Detection and Recovery in Connected Automated Vehicle Sensors.
IEEE Trans. Intell. Transp. Syst., 2021
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning.
CoRR, 2021
Adversarial Online Learning With Variable Plays in the Pursuit-Evasion Game: Theoretical Foundations and Application in Connected and Automated Vehicle Cybersecurity.
IEEE Access, 2021
A Learning-Based Method for Predicting Heterogeneous Traffic Agent Trajectories: Implications for Transfer Learning.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
2020
IEEE Trans. Intell. Transp. Syst., 2020
Anomaly Detection in Connected and Automated Vehicles using an Augmented State Formulation.
CoRR, 2020
Trajectory Planning for Connected and Automated Vehicles: Cruising, Lane Changing, and Platooning.
CoRR, 2020
Impact of Sharing Driving Attitude Information: A Quantitative Study on Lane Changing.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
2019
Impact of Traffic Conditions and Carpool Lane Availability on Peer to Peer Ridesharing Demand.
CoRR, 2019
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
A Path Towards Understanding Factors Affecting Crash Severity in Autonomous Vehicles Using Current Naturalistic Driving Data.
Proceedings of the Intelligent Systems and Applications, 2019
2017
CoRR, 2017