| Physics informed deep learning for traffic state estimation AJ Huang, S Agarwal 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 62 | 2020 |
| Physics-informed deep learning for traffic state estimation: Illustrations with LWR and CTM models AJ Huang, S Agarwal IEEE Open Journal of Intelligent Transportation Systems 3, 503-518, 2022 | 28 | 2022 |
| Modeling social contagion and information diffusion in complex socio-technical systems M Muhlmeyer, S Agarwal, AJ Huang IEEE Systems Journal 14 (4), 5187-5198, 2020 | 17 | 2020 |
| On the limitations of physics-informed deep learning: Illustrations using first order hyperbolic conservation law-based traffic flow models AJ Huang, S Agarwal IEEE Open Journal of Intelligent Transportation Systems, 2023 | 12 | 2023 |
| Event triggered social media chatter: A new modeling framework M Muhlmeyer, AJ Huang, S Agarwal IEEE Transactions on Computational Social Systems 6 (2), 197-207, 2019 | 10 | 2019 |
| Using Smartphone as On-board unit (OBU) Emulator Implementation Study MA Abdel-Aty, Q Cai, S Agarwal, Z Islam, P Li, S Zhang, D Hasan, ... University of Central Florida, 2020 | 6 | 2020 |
| A New Language and Input–Output Hidden Markov Model for Automated Audit Inquiry P Kachroo, A Saiewitz, R Raschke, S Agarwal, AJ Huang IEEE Intelligent Systems 35 (6), 39-49, 2020 | 4 | 2020 |
| Incorporating nonlocal traffic flow model in physics-informed neural networks AJ Huang, A Biswas, S Agarwal arXiv preprint arXiv:2308.11818, 2023 | 2 | 2023 |
| Physics Informed Deep Learning: Applications in Transportation AJ Huang, S Agarwal arXiv preprint arXiv:2302.12336, 2023 | 2 | 2023 |
| Nonlocal Calculus-Based Macroscopic Traffic Model: Development, Analysis, and Validation P Kachroo, S Agarwal, A Biswas, AJ Huang IEEE Open Journal of Intelligent Transportation Systems 4, 900-908, 2023 | | 2023 |
| Developing a Physics-informed Deep Learning Paradigm for Traffic State Estimation AJ Huang University of Central Florida, 2023 | | 2023 |
| Can Artificial Intelligence Detect Biased Client Statements to Improve the Auditor-Client Inquiry Process? A Saiewitz, R Raschke, P Kachroo, S Agarwal, J Huang | | 2021 |
| A New Language and Input-Output Hidden Markov Model for Automated Audit Inquiry J Huang | | |
| Physics Informed Deep Learning: Applications to Traffic State Estimation in Connected Vehicle Environment J Huang, S Agarwal | | |
