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Faeze Ghofrani,PhD
Faeze Ghofrani,PhD
Verified email at psu.edu
Title
Cited by
Cited by
Year
Recent applications of big data analytics in railway transportation systems: A survey
F Ghofrani, Q He, RMP Goverde, X Liu
Transportation Research Part C: Emerging Technologies 90 (May), 226-246, 2018
3512018
Exploring the impact of foot-by-foot track geometry on the occurrence of rail defects
R Mohammadi, Q He, F Ghofrani, A Pathak, A Aref
Transportation research part C: emerging technologies 102, 153-172, 2019
832019
Predicting rail defect frequency: An integrated approach using fatigue modeling and data analytics
F Ghofrani, A Pathak, R Mohammadi, A Aref, Q He
Computer‐Aided Civil and Infrastructure Engineering 35 (2), 101-115, 2020
382020
Analyzing risk of service failures in heavy haul rail lines: A hybrid approach for imbalanced data
F Ghofrani, H Sun, Q He
Risk analysis 42 (8), 1852-1871, 2022
162022
Bayesian survival approach to analyzing the risk of recurrent rail defects
F Ghofrani, Q He, R Mohammadi, A Pathak, A Aref
Transportation research record 2673 (7), 281-293, 2019
162019
Rail breaks arrival rate prediction: A physics-informed data-driven analysis for railway tracks
F Ghofrani, S Yousefianmoghadam, Q He, A Stavridis
Measurement 172, 108858, 2021
102021
Forecasting risk of service failures between successive rail inspections: a data-driven approach
F Ghofrani, NK Chava, Q He
Journal of Big Data Analytics in Transportation 2, 17-31, 2020
92020
Experimental and Simulation Validation of Piezoelectric Road Energy Harvesting
A Sherren, K Fink, J Eshelman, LY Taha, S Anwar, C Brennecke, ...
Open Journal of Energy Efficiency 11 (3), 122-141, 2022
72022
Intelligent construction for the transportation infrastructure: a review
Q He, F Ghofrani, T Gao, P Wang, C He, Y Li, C Ai
Intelligent Transportation Infrastructure 1, liac007, 2022
62022
Data-driven railway track deterioration modeling for predictive maintenance
F Ghofrani
State University of New York at Buffalo, 2020
62020
Exploring the relationship between foot-by-foot track geometry and rail defects: a data-driven approach
R Mohammadi, Q He, F Ghofrani, A Pathak, A Aref
Transportation Research Board 98th Annual MeetingTransportation Research Board, 2019
42019
Concurrent Locomotive Assignment and Freight Train Scheduling.
M Yaghini, F Ghofrani, M Karimi, M Esmi-Zadeh
International Journal of Engineering Science (2008-4870) 27 (4), 2016
22016
Data Analysis of Failures of Signaling and Communication Equipment in Iranian Railways using Data Mining Techniques
M Yaghini, F Ghofrani, S Molla, M Amereh, B Javanbakht
JOURNAL OF TRANSPORTATION RESEARCH 11 (441), 379-389, 2015
22015
Smart Switch: The Application of Fiber Optic Continuous Strain Sensing to the Railroad Turnouts
FJ Smith, F Ghofrani
ASME/IEEE Joint Rail Conference 85758, V001T09A009, 2022
2022
Rail Service Failure Prediction: An Integrated Approach Using Fatigue Modeling and Data Analytics
F Ghofrani, S Yousefianmoghadam, Q He, A Stavridis
2019
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Articles 1–15