- A comprehensive review on health monitoring of joints in steel structures. Dans: Smart Materials and Structures, v. 33, n. 7 (7 juin 2024). (2024):
- A convolutional neural network-based architecture for health monitoring of joint damages in a steel plane frame structure under temperature variability. Dans: Asian Journal of Civil Engineering, v. 25, n. 2 (octobre 2023). (2023):
- Structural health monitoring of ASCE benchmark building using machine learning algorithms. Dans: Asian Journal of Civil Engineering, v. 25, n. 1 (juillet 2023). (2023):
- A machine learning approach for health monitoring of a steel frame structure using statistical features of vibration data. Dans: Asian Journal of Civil Engineering, v. 25, n. 1 (juillet 2023). (2023):
- A deep‐learning approach for health monitoring of a steel frame structure with bolted connections. Dans: Structural Control and Health Monitoring, v. 29, n. 2 (10 janvier 2022). (2022):
- Bag of Visual Words based Machine Learning Framework for Disbond Characterisation in Composite Sandwich Structures using Guided Waves. Dans: Smart Materials and Structures, v. 30, n. 7 (14 mai 2021). (2021):
- Damage-induced acoustic emission source identification in an advanced sandwich composite structure. Dans: Composite Structures, v. 202 (octobre 2018). (2018):
- Performance of damage detection algorithms for health monitoring of joints in steel frame structures using vibration-based techniques. Dans: International Journal of Structural Engineering, v. 4, n. 4 ( 2013). (2013):
- Estimation of fixity factors of bolted joints in a steel frame structure using a vibration-based health monitoring technique. Dans: International Journal of Steel Structures, v. 17, n. 2 ( 2017). (2017):
- combined modal strain energy and particle swarm optimization for health monitoring of structures. Dans: Journal of Civil Structural Health Monitoring, v. 5, n. 4 (septembre 2015). (2015):