Publications

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Author Title Type [ Year(Desc)]
2013
“2013 13th International Conference on Control, Automation and Systems (ICCAS 2013)”, A probabilistic partial order theory approach to IT infrastructure selection for Smart Grid, 2013.
M. Rezagholizadeh, Mehrannia, P. , Barzegar, A. , Fereidunian, A. , Moshiri, B. , and Lesani, H. , “A probabilistic partial order theory approach to IT infrastructure selection for Smart Grid”, in 2013 13th International Conference on Control, Automation and Systems (ICCAS 2013), 2013, pp. 488–493.
2018
“2018 21st International Conference on Intelligent Transportation Systems (ITSC)”, A Dempster-Shafer Sensor Fusion Approach for Traffic Incident Detection and Localization, 2018.
P. Mehrannia, Moghadam, A. Arman, and Basir, O. A. , “A dempster-shafer sensor fusion approach for traffic incident detection and localization”, in 2018 21st International Conference on Intelligent Transportation Systems (ITSC), 2018, pp. 3911–3916.
2020
“Temporospatial Context-Aware Vehicular Crash Risk Prediction”, Temporospatial Context-Aware Vehicular Crash Risk Prediction, 2020.
P. Mehrannia, “Temporospatial context-aware vehicular crash risk prediction”, 2020.
2021
P. Mehrannia, Moshiri, B. , and Basir, O. Adam, “Knowledgebase Approximation Using Association Rules Aggregation”, Knowledgebase Approximation Using Association Rules Aggregation, 2021.
P. Mehrannia, Bagi, S. Shirahmad, Moshiri, B. , and Al-Basir, O. Adam, “Deep Representation of Imbalanced Spatio-temporal Traffic Flow Data for Traffic Accident Detection”, arXiv preprint arXiv:2108.09506, 2021.
2022
P. Mehrannia, Bagi, S. Shirahmad, Moshiri, B. , and Al‐Basir, O. Adam, “IET Intelligent Transport Systems”, Deep representation of imbalanced spatio‐temporal traffic flow data for traffic accident detection, 2022.
P. Mehrannia, Moshiri, B. , and Basir, O. , “International Journal of Data Science and Analytics”, Knowledgebase approximation using association rule aggregation, 2022.
P. Mehrannia, Moshiri, B. , and Basir, O. , “Knowledgebase approximation using association rule aggregation”, International Journal of Data Science and Analytics, pp. 1–13, 2022.