| Developing a new fuzzy inference system for pipeline risk assessment A Jamshidi, A Yazdani-Chamzini, SH Yakhchali, S Khaleghi Journal of loss prevention in the process industries 26 (1), 197-208, 2013 | 251 | 2013 |
| A big data analysis approach for rail failure risk assessment A Jamshidi, S Faghih‐Roohi, S Hajizadeh, A Núñez, R Babuska, ... Risk analysis 37 (8), 1495-1507, 2017 | 157 | 2017 |
| A decision support approach for condition-based maintenance of rails based on big data analysis A Jamshidi, S Hajizadeh, Z Su, M Naeimi, A Núñez, R Dollevoet, ... Transportation Research Part C: Emerging Technologies 95, 185-206, 2018 | 98 | 2018 |
| Multi-level condition-based maintenance planning for railway infrastructures – A scenario-based chance-constrained approach BDS Z. Su, A. Jamshidi, A. Núñez, S. Baldi Transportation Research Part C: Emerging technologies. 84, 92-123, 2017 | 86 | 2017 |
| Integrated condition-based track maintenance planning and crew scheduling of railway networks Z Su, A Jamshidi, A Núñez, S Baldi, B De Schutter Transportation Research Part C: Emerging Technologies 105, 359-384, 2019 | 60 | 2019 |
| Probabilistic defect-based risk assessment approach for rail failures in railway infrastructure A Jamshidi, SF Roohi, A Núñez, R Babuska, B De Schutter, R Dollevoet, ... IFAC-PapersOnLine 49 (3), 73-77, 2016 | 43 | 2016 |
| Robust and predictive fuzzy key performance indicators for condition-based treatment of squats in railway infrastructures A Jamshidi, A Núñez, R Dollevoet, Z Li Journal of Infrastructure Systems 23 (3), 04017006, 2017 | 34 | 2017 |
| Pareto-based maintenance decisions for regional railways with uncertain weld conditions using the Hilbert spectrum of axle box acceleration A Nunez, A Jamshidi, H Wang IEEE Transactions on Industrial Informatics 15 (3), 1496-1507, 2018 | 25 | 2018 |
| Artificial intelligence in railway infrastructure: Current research, challenges, and future opportunities W Phusakulkajorn, A Núñez, H Wang, A Jamshidi, A Zoeteman, B Ripke, ... Intelligent Transportation Infrastructure 2, liad016, 2023 | 22 | 2023 |
| Efficiency prediction of control room operators based on human reliability analysis and dynamic decision‐making style in the process industry E Zarei, I Mohammadfam, MM Aliabadi, A Jamshidi, F Ghasemi Process Safety Progress 35 (2), 192-199, 2016 | 22 | 2016 |
| Model predictive control for maintenance operations planning of railway infrastructures Z Su, A Núñez, A Jamshidi, S Baldi, Z Li, R Dollevoet, B De Schutter Computational Logistics: 6th International Conference, ICCL 2015, Delft, The …, 2015 | 12 | 2015 |
| Fuzzy maintenance decision support for treating squats in railway infrastructures A Jamshidi, A Núñez, Z Li, R Dollevoet ASME/IEEE Joint Rail Conference 56451, V001T01A013, 2015 | 5 | 2015 |
| A hybrid predictive methodology for head checks in railway infrastructure A Meghoe, A Jamshidi, R Loendersloot, T Tinga Proceedings of the Institution of Mechanical Engineers, Part F: Journal of …, 2021 | 3 | 2021 |
| Intelligent rail maintenance decision support system using KPIs A Jamshidi | 1 | 2019 |
| Distributed chance-constrained model predictive control for condition-based maintenance planning for railway infrastructures Z Su, A Jamshidi, A Núñez, S Baldi, BD Schutter Predictive Maintenance in Dynamic Systems: Advanced Methods, Decision …, 2019 | 1 | 2019 |
| Towards the development of a hybrid methodology of head checks in railway infrastructure A Meghoe, A Jamshidi, R Loendersloot, T Tinga Railway Engineering 2019: 15th International Conference & Exhibition, 1-12, 2019 | | 2019 |
| Evolutionary multiobjective optimization for rail maintenance operations in a regional railway network ZL A. Núñez, A. Jamshidi, H. Wang, J. Hendriks, I. Ramirez, J. Moraal, R ... IEEE World Congress on Computational Intelligence (WCCI 2018), 2018 | | 2018 |
| Influencing factors for condition-based maintenance in railway tracks using knowledge-based approach ZL A. Jamshidi, S. Hajizadeh, M. Naeimi, A. Núñez Proceedings of the First International Conference on Rail Transportation …, 2017 | | 2017 |
| Key performance indicators using an interval based fuzzy prediction modeling to treat squats in railway infrastructures”. Proceedings of the Third International Conference on … RD A. Jamshidi, A. Núñez, M. Molodova, Z. Li RAILWAYS2016, Cagliari, Sardina, Italy, Paper 159, 2016 | | 2016 |
Alfredo NúñezAssociate Professor on Intelligent Railway Infrastructure, TUDelft確認したメール アドレス: tudelft.nl
Bart De Schutterfull professor & head of department, Delft Center for Systems and Control確認したメール アドレス: tudelft.nl
Zili LiFull Professor and Chair of Rail Systems and Monitoring, TU Delft確認したメール アドレス: tudelft.nl
Zhou SuPhD in Delft Center for Systems and Control, Delft University of Technology確認したメール アドレス: tudelft.nl
Siamak HajizadehNKI確認したメール アドレス: nki.nl
Simone BaldiProfessor at Southeast University確認したメール アドレス: seu.edu.cn
Robert BabuskaProfessor, Delft University of Technology, Czech Technical University Prague確認したメール アドレス: tudelft.nl
Shahrzad Faghih RoohiEindhoven University of Technology確認したメール アドレス: tue.nl
Meysam NaeimiPhD, Delft University of Technology確認したメール アドレス: tudelft.nl
Hongrui WangDepartment of Engineering Structures, Delft University of Technology確認したメール アドレス: tudelft.nl
Iraj MohammadfamProfessor; University of Social Welfare and Rehabilitation Sciences確認したメール アドレス: uswr.ac.ir
Esmaeil ZareiAssociate Professor of Safety Science, Embry-Riddle Aeronautical University確認したメール アドレス: erau.edu
Annemieke MeghoeUniversity of Twente確認したメール アドレス: utwente.nl