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Abdollah Malekjafarian
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2020 – today
- 2025
- [j12]Ramin Ghiasi, Nicolas Lestoille, Cassandre Diaine, Abdollah Malekjafarian:
Unsupervised domain adaptation for drive-by condition monitoring of multiple railway tracks. Eng. Appl. Artif. Intell. 139: 109516 (2025) - 2024
- [j11]Robert Corbally, Abdollah Malekjafarian:
A deep-learning framework for classifying the type, location, and severity of bridge damage using drive-by measurements. Comput. Aided Civ. Infrastructure Eng. 39(6): 852-871 (2024) - [j10]Ramin Ghiasi, Muhammad Arslan Khan, Danilo Sorrentino, Cassandre Diaine, Abdollah Malekjafarian:
An unsupervised anomaly detection framework for onboard monitoring of railway track geometrical defects using one-class support vector machine. Eng. Appl. Artif. Intell. 133: 108167 (2024) - [j9]Araliya Mosleh, Diogo Ribeiro, Abdollah Malekjafarian, Maria D. Martínez-Rodrigo:
Advances in Condition Monitoring of Railway Infrastructure. Sensors 24(3): 830 (2024) - [j8]Fateneh Golpayegani, Nanxi Chen, Nima Afraz, Eric Gyamfi, Abdollah Malekjafarian, Dominik Schäfer, Christian Krupitzer:
Adaptation in Edge Computing: A Review on Design Principles and Research Challenges. ACM Trans. Auton. Adapt. Syst. 19(3): 19:1-19:43 (2024) - [i1]Zeyneddin Oz, Ceylan Soygul Oz, Abdollah Malekjafarian, Nima Afraz, Fatemeh Golpayegani:
subMFL: Compatiple subModel Generation for Federated Learning in Device Heterogenous Environment. CoRR abs/2405.20014 (2024) - 2023
- [j7]Abdollah Malekjafarian, Chalres-Antoine Sarrabezolles, Muhammad Arslan Khan, Fatemeh Golpayegani:
A Machine-Learning-Based Approach for Railway Track Monitoring Using Acceleration Measured on an In-Service Train. Sensors 23(17): 7568 (2023) - [c1]Zeyneddin Oz, Ceylan Soygul Oz, Abdollah Malekjafarian, Nima Afraz, Fatemeh Golpayegani:
subMFL: Compatible subModel Generation for Federated Learning in Device Heterogeneous Environment. Euro-Par Workshops 2023: 52-64 - 2022
- [j6]Abdollah Malekjafarian, Muhammad Arslan Khan, Eugene J. OBrien, E. Alexandra Micu, Cathal Bowe, Ramin Ghiasi:
Indirect Monitoring of Frequencies of a Multiple Span Bridge Using Data Collected from an Instrumented Train: A Field Case Study. Sensors 22(19): 7468 (2022) - 2021
- [j5]Mohamed El Amine Ben Seghier, José A. F. O. Corriea, Jafar Jafari-Asl, Abdollah Malekjafarian, Vagelis Plevris, Trung Nguyen-Thoi:
On the modeling of the annual corrosion rate in main cables of suspension bridges using combined soft computing model and a novel nature-inspired algorithm. Neural Comput. Appl. 33(23): 15969-15985 (2021)
2010 – 2019
- 2019
- [j4]E. Alexandra Micu, Abdollah Malekjafarian, Eugene J. OBrien, Michael Quilligan, Ross McKinstray, Ewan Angus, Myra Lydon, Fikret Necati Catbas:
Evaluation of the extreme traffic load effects on the Forth Road Bridge using image analysis of traffic data. Adv. Eng. Softw. 137 (2019) - [j3]Paul C. Fitzgerald, Abdollah Malekjafarian, Basuraj Bhowmik, Luke Prendergast, Paul Cahill, Chul-Woo Kim, Budhaditya Hazra, Vikram Pakrashi, Eugene J. OBrien:
Scour Damage Detection and Structural Health Monitoring of a Laboratory-Scaled Bridge Using a Vibration Energy Harvesting Device. Sensors 19(11): 2572 (2019) - [j2]Abdollah Malekjafarian, Fatemeh Golpayegani, Callum Moloney, Siobhán Clarke:
A Machine Learning Approach to Bridge-Damage Detection Using Responses Measured on a Passing Vehicle. Sensors 19(18): 4035 (2019) - 2018
- [j1]Eugene J. OBrien, Colin C. Caprani, Serena Blacoe, Dong Guo, Abdollah Malekjafarian:
Detection of vehicle wheels from images using a pseudo-wavelet filter for analysis of congested traffic. IET Image Process. 12(12): 2222-2228 (2018)
Coauthor Index
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