R. Ceravolo
- A domain adaptation methodology for enhancing the classification of structural condition states in continuously monitored historical domes. In: Computer-Aided Civil and Infrastructure Engineering. :
- Building typological classification in Switzerland using deep learning methods for seismic assessment. In: Procedia Structural Integrity, v. 44 ( 2023). (2023):
- Non-linear characterisation of the physical model of an ancient masonry bridge. In: Journal of Physics: Conference Series, v. 382 (August 2012). (2012):
- Vibration tests on dismounted bridge beams and effects of deterioration. In: Journal of Physics: Conference Series, v. 382 (August 2012). (2012):
- (2020): Condition Assessment, Monitoring and Preservation of Some Iconic Concrete Structures of the 20th Century. Vorgetragen bei: IABSE Symposium: Synergy of Culture and Civil Engineering – History and Challenges, Wrocław, Poland, 7-9 October 2020.
- (2020): Dynamic Investigations on the Health State and Seismic Vulnerability of Morandi’s Pavilion V of Turin Exhibition Center. Vorgetragen bei: IABSE Symposium: Synergy of Culture and Civil Engineering – History and Challenges, Wrocław, Poland, 7-9 October 2020.
- Hierarchical use of neural techniques in structural damage recognition. In: Smart Materials and Structures, v. 4, n. 4 (Dezember 1995). (1995):
- Thermomechanical model updating of the world's largest oval dome. Vorgetragen bei: Structural Analysis of Historical Constructions (SAHC) 2016, Leuven, Belgium, 13-15 September 2016. (2016):
- Optimal sensor placement for modern heritage spatial structures. Vorgetragen bei: Structural Analysis of Historical Constructions (SAHC) 2016, Leuven, Belgium, 13-15 September 2016. (2016):