Abdollah Malekjafarian

17 papers C 1Journal 14Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
A novel wrapper-based feature selection method for drive-by bridge anomaly detection using knowledge transfer.
Adv. Eng. Softw.
Robert Corbally, Ramin Ghiasi, Abdollah Malekjafarian
2025 C conf
Adaptive Traffic Management for Emergency Vehicles in Work Zones.
VEHITS
Fatemeh Bandarian, Saeedeh Ghanadbashi, Abdollah Malekjafarian, Fatemeh Golpayegani
2025 — conf
Toward Fault-Tolerant Coordination in UAV Swarms for Offshore Wind Farm Inspection.
WMNC
Jiayi Chen, Maha Riad, Saeedeh Ghanadbashi, Guthemberg Silvestre, Abdollah Malekjafarian, Fatemeh Golpayegani
2025 J jnl
Unsupervised domain adaptation for drive-by condition monitoring of multiple railway tracks.
Eng. Appl. Artif. Intell.
Ramin Ghiasi, Nicolas Lestoille, Cassandre Diaine, Abdollah Malekjafarian
2024 J jnl
A deep-learning framework for classifying the type, location, and severity of bridge damage using drive-by measurements.
Comput. Aided Civ. Infrastructure Eng.
Robert Corbally, Abdollah Malekjafarian
2024 J jnl
Adaptation in Edge Computing: A Review on Design Principles and Research Challenges.
ACM Trans. Auton. Adapt. Syst.
Fateneh Golpayegani, Nanxi Chen, Nima Afraz, Eric Gyamfi, Abdollah Malekjafarian, Dominik Schäfer, Christian Krupitzer
2024 J jnl
Advances in Condition Monitoring of Railway Infrastructure.
Sensors
Araliya Mosleh, Diogo Ribeiro, Abdollah Malekjafarian, Maria D. Martínez-Rodrigo
2024 J jnl
An unsupervised anomaly detection framework for onboard monitoring of railway track geometrical defects using one-class support vector machine.
Eng. Appl. Artif. Intell.
Ramin Ghiasi, Muhammad Arslan Khan, Danilo Sorrentino, Cassandre Diaine, Abdollah Malekjafarian
2024 J jnl
subMFL: Compatiple subModel Generation for Federated Learning in Device Heterogenous Environment.
CoRR
Zeyneddin Oz, Ceylan Soygul Oz, Abdollah Malekjafarian, Nima Afraz, Fatemeh Golpayegani
2023 J jnl
A Machine-Learning-Based Approach for Railway Track Monitoring Using Acceleration Measured on an In-Service Train.
Sensors
Abdollah Malekjafarian, Chalres-Antoine Sarrabezolles, Muhammad Arslan Khan, Fatemeh Golpayegani
2023 — conf
subMFL: Compatible subModel Generation for Federated Learning in Device Heterogeneous Environment.
Euro-Par Workshops
Zeyneddin Oz, Ceylan Soygul Oz, Abdollah Malekjafarian, Nima Afraz, Fatemeh Golpayegani
2022 J jnl
Indirect Monitoring of Frequencies of a Multiple Span Bridge Using Data Collected from an Instrumented Train: A Field Case Study.
Sensors
Abdollah Malekjafarian, Muhammad Arslan Khan, Eugene J. OBrien, E. Alexandra Micu, Cathal Bowe, Ramin Ghiasi
2021 J jnl
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.
Mohamed El Amine Ben Seghier, José A. F. O. Corriea, Jafar Jafari-Asl, Abdollah Malekjafarian, Vagelis Plevris, Trung Nguyen-Thoi
2019 J jnl
A Machine Learning Approach to Bridge-Damage Detection Using Responses Measured on a Passing Vehicle.
Sensors
Abdollah Malekjafarian, Fatemeh Golpayegani, Callum Moloney, Siobhán Clarke
2019 J jnl
Evaluation of the extreme traffic load effects on the Forth Road Bridge using image analysis of traffic data.
Adv. Eng. Softw.
E. Alexandra Micu, Abdollah Malekjafarian, Eugene J. OBrien, Michael Quilligan, Ross McKinstray, Ewan Angus, Myra Lydon, Fikret Necati Catbas
2019 J jnl
Scour Damage Detection and Structural Health Monitoring of a Laboratory-Scaled Bridge Using a Vibration Energy Harvesting Device.
Sensors
Paul C. Fitzgerald, Abdollah Malekjafarian, Basuraj Bhowmik, Luke Prendergast, Paul Cahill, Chul-Woo Kim, Budhaditya Hazra, Vikram Pakrashi, Eugene J. OBrien
2018 J jnl
Detection of vehicle wheels from images using a pseudo-wavelet filter for analysis of congested traffic.
IET Image Process.
Eugene J. OBrien, Colin C. Caprani, Serena Blacoe, Dong Guo, Abdollah Malekjafarian