| GAPointNet: Graph Attention based Point Neural Network for Exploiting Local Feature of Point Cloud C Chen, L Zanotti Fragonara, A Tsourdos Neurocomputing, 2021 | 137 | 2021 |
| Vibration-based monitoring and diagnosis of cultural heritage: a methodological discussion in three examples R Ceravolo, G Pistone, L Zanotti Fragonara, S Massetto, G Abbiati International Journal of Architectural Heritage 10 (4), 375-395, 2016 | 108 | 2016 |
| Global Sensitivity‐Based Model Updating for Heritage Structures G Boscato, S Russo, R Ceravolo, L Zanotti Fragonara Computer‐Aided Civil and Infrastructure Engineering, 2015 | 93 | 2015 |
| Dynamic investigation on the Mirandola bell tower in post-earthquake scenarios L Zanotti Fragonara, G Boscato, R Ceravolo, S Russo, S Ientile, ... Bulletin of Earthquake Engineering 15 (1), 313-337, 2017 | 57 | 2017 |
| A multi‐objective genetic algorithm strategy for robust optimal sensor placement M Civera, ML Pecorelli, R Ceravolo, C Surace, L Zanotti Fragonara Computer‐Aided Civil and Infrastructure Engineering 36 (9), 1185-1202, 2021 | 56 | 2021 |
| Semi-active control of the rocking motion of monolithic art objects R Ceravolo, ML Pecorelli, L Zanotti Fragonara Journal of Sound and Vibration, 2016 | 49 | 2016 |
| An experimental study of the feasibility of phase‐based video magnification for damage detection and localisation in operational deflection shapes M Civera, L Zanotti Fragonara, C Surace Strain, 2020 | 48 | 2020 |
| Amplitude dependence of equivalent modal parameters in monitored buildings during earthquake swarms R Ceravolo, E Matta, A Quattrone, L Zanotti Fragonara Earthquake Engineering & Structural Dynamics 46 (14), 2399-2417, 2017 | 48 | 2017 |
| A machine learning approach for automatic operational modal analysis V Mugnaini, L Zanotti Fragonara, M Civera Mechanical Systems and Signal Processing 170, 108813, 2022 | 47 | 2022 |
| RoIFusion: 3D Object Detection from LiDAR and Vision C Chen, L Zanotti Fragonara, A Tsourdos arXiv preprint arXiv:2009.04554, 2020 | 47 | 2020 |
| Monitoring of masonry historical constructions: 10 years of static monitoring of the world's largest oval dome R Ceravolo, A De Marinis, ML Pecorelli, L Zanotti Fragonara Structural Control and Health Monitoring 24 (10), e1988, 2017 | 47 | 2017 |
| Dynamic characterization of complex masonry structures: the Sanctuary of Vicoforte MA Chiorino, R Ceravolo, A Spadafor, L Zanotti Fragonara, G Abbiati International Journal of Architectural Heritage 5 (3), 296-314, 2011 | 47 | 2011 |
| Machine learning‐based automatic operational modal analysis: A structural health monitoring application to masonry arch bridges M Civera, V Mugnaini, L Zanotti Fragonara Structural Control and Health Monitoring 29 (10), e3028, 2022 | 40 | 2022 |
| Comparison of restoring force models for the identification of structures with hysteresis and degradation R Ceravolo, S Erlicher, L Zanotti Fragonara Journal of Sound and Vibration 332 (26), 6982-6999, 2013 | 37 | 2013 |
| System identification via fast relaxed vector fitting for the structural health monitoring of masonry bridges M Civera, G Calamai, LZ Fragonara Structures 30, 277-293, 2021 | 35 | 2021 |
| Comparison of semi-active control strategies for rocking objects under pulse and harmonic excitations R Ceravolo, ML Pecorelli, L Zanotti Fragonara Mechanical Systems and Signal Processing 90, 175-188, 2017 | 33 | 2017 |
| Improving Depth Resolution of Ultrasonic Phased Array Imaging to Inspect Aerospace Composite Structures R Mohammadkhani, L Zanotti Fragonara, J Padiyar M, I Petrunin, ... Sensors 20 (2), 559, 2020 | 32 | 2020 |
| Structural Health Monitoring through Vibration-Based Approaches G Boscato, L Zanotti Fragonara, A Cecchi, E Reccia, D Baraldi Shock and Vibration 2019, 2019 | 28 | 2019 |
| Identification of the hysteretic behaviour of a partial‐strength steel–concrete moment‐resisting frame structure subject to pseudodynamic tests OS Bursi, R Ceravolo, S Erlicher, L Zanotti Fragonara Earthquake engineering & structural dynamics 41 (14), 1883-1903, 2012 | 27 | 2012 |
| A novel approach to damage localisation based on bispectral analysis and neural network M Civera, L Zanotti Fragonara, C Surace Smart Structures Systems 20 (6), 669-682, 2017 | 25 | 2017 |
Marco CiveraPolitecnico di Torino在 polito.it 的电子邮件经过验证
