| A hybrid modelling framework of machine learning and extreme value theory for crash risk estimation using traffic conflicts F Hussain, Y Li, A Arun, MM Haque Analytic methods in accident research 36, 100248, 2022 | 36 | 2022 |
| An eXtreme Gradient Boosting model for predicting dynamic modulus of asphalt concrete mixtures Y Ali, F Hussain, M Irfan, AS Buller Construction and Building Materials 295, 123642, 2021 | 36 | 2021 |
| Advances, challenges, and future research needs in machine learning-based crash prediction models: A systematic review Y Ali, F Hussain, MM Haque Accident Analysis & Prevention 194, 107378, 2024 | 29 | 2024 |
| A data-driven model for phase angle behaviour of asphalt concrete mixtures based on convolutional neural network F Hussain, Y Ali, M Irfan, M Ashraf, S Ahmed Construction and Building Materials 269, 121235, 2021 | 24 | 2021 |
| Predicting and explaining lane-changing behaviour using machine learning: A comparative study Y Ali, F Hussain, MCJ Bliemer, Z Zheng, MM Haque Transportation research part C: emerging technologies 145, 103931, 2022 | 22 | 2022 |
| Real-time crash risk forecasting using Artificial-Intelligence based video analytics: A unified framework of generalised extreme value theory and autoregressive integrated … F Hussain, Y Ali, Y Li, MM Haque Analytic methods in accident research 40, 100302, 2023 | 12 | 2023 |
| Quantifying the differential phase angle behaviour of asphalt concrete mixtures using artificial neural networks F Hussain, Y Ali, M Irfan International Journal of Pavement Research and Technology 15 (3), 640-658, 2022 | 9 | 2022 |
| Revisiting the hybrid approach of anomaly detection and extreme value theory for estimating pedestrian crashes using traffic conflicts obtained from artificial intelligence … F Hussain, Y Ali, Y Li, MM Haque Accident Analysis & Prevention 199, 107517, 2024 | 5 | 2024 |
| Alternative approach for predicting the phase angle characteristics of asphalt concrete mixtures based on recurrent neural networks F Hussain, Y Ali, M Irfan Journal of Materials in Civil Engineering 33 (9), 04021215, 2021 | 5 | 2021 |
| Fault-tolerance analyzer: A middle layer for pre-provision testing in OpenStack F Hussain, SA Haider, A Alamri, M AlQarni Computers & Electrical Engineering 66, 64-79, 2018 | 5 | 2018 |
| A bi-level framework for real-time crash risk forecasting using artificial intelligence-based video analytics F Hussain, Y Ali, Y Li, MM Haque Scientific Reports 14 (1), 4121, 2024 | 1 | 2024 |
| Fault-Tolerance Analyzer for Virtual Networks F Hussain, SA Haider NUST School of Electrical Engineering and Computer Science, 2016 | | 2016 |
| Immune response of orally administered sonicated velogenic newcastle disease virus in chicks. M Iqbal, M Ashfaque, M Irfan, F Hussain | | 1987 |
