Mayuko Nishio 
- : System fragility analysis of highway bridge using multi-output Gaussian process regression surrogate model. Dans: Advances in Structural Engineering.
- (2024): Component‐level point cloud completion of bridge structures using deep learning. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 39, n. 17 (17 août 2024).
- (2023): System fragility evaluation of a curved highway bridge structure considering multi-direction seismic excitations. Dans: Advances in Structural Engineering, v. 26, n. 14 (15 septembre 2023).
- (2023): CNN-based segmentation frameworks for structural component and earthquake damage determinations using UAV images. Dans: Earthquake Engineering and Engineering Vibration, v. 22, n. 2 (février 2023).
- (2023): Transfer learning Gaussian process regression surrogate model with explainability for structural reliability analysis under variation in uncertainties. Dans: Computers & Structures, v. 281 (juin 2023).
- (2024): Evaluation of dynamic impact factor of existing bridges with road surface damages based on dynamic response under traffic flow loading. Dans: Structure and Infrastructure Engineering, v. 20, n. 9 (janvier 2024).
- (2016): Investigation of edge fairing shaping effects on aerodynamic response of long-span bridge deck by unsteady RANS. Dans: Archives of Civil and Mechanical Engineering, v. 16, n. 4 (septembre 2016).
- (2017): Construction of a traffic estimation model using dynamic response features extracted from SHM data in a cable-stayed bridge. Dans: Procedia Engineering, v. 199 ( 2017).
- (2019): Vehicle Weight Estimation Using Wireless Accelerometers on a Steel-Box Girder Bridge. Présenté pendant: IABSE Congress: The Evolving Metropolis, New York, NY, USA, 4-6 September 2019.
- (2020): Evaluation of dynamic responses of bridges considering traffic flow and surface roughness. Dans: Engineering Structures, v. 225 (décembre 2020).
- (2019): Structural change monitoring of a cable-stayed bridge by time-series modeling of the global thermal deformation acquired by GPS. Dans: Journal of Civil Structural Health Monitoring, v. 9, n. 5 (octobre 2019).
- (2019): Operation of a Damaged Prestressed Concrete Girder Bridge with Repair and Reinforcement. Dans: Proceedings of the Institution of Civil Engineers - Forensic Engineering, v. 172, n. 1 (février 2019).
- (2015): Feasibility Study on Aerodynamically Stable Suspension Bridge with Simplified Girder Structures. Présenté pendant: IABSE Conference: Elegance in structures, Nara, Japan, 13-15 May 2015.
- (2015): Uncertainty Quantification and Calibration of Dynamic Models of Existing Bridges Considering Difference of Modeling Strategy. Présenté pendant: IABSE Conference: Elegance in structures, Nara, Japan, 13-15 May 2015.
- (2018): Investigation on a curvature-based damage detection method using displacement under moving vehicle. Dans: Structural Control and Health Monitoring, v. 25, n. 1 (janvier 2018).
- (2017): Traffic volume estimation in a cable-stayed bridge using dynamic responses acquired in the structural health monitoring. Dans: Structural Control and Health Monitoring, v. 24, n. 4 (avril 2017).
- (2016): Improvement of aerodynamic stability of suspension bridges with H-shaped simplified stiffening girder. Dans: Frontiers of Structural and Civil Engineering, v. 10, n. 1 (janvier 2016).
- (2016): A wind tunnel study on control methods for cable dry-galloping. Dans: Frontiers of Structural and Civil Engineering, v. 10, n. 1 (janvier 2016).
- (2012): Uncertainty quantification of the finite element model of existing bridges for dynamic analysis. Dans: Journal of Civil Structural Health Monitoring, v. 2, n. 3-4 (décembre 2012).
- (2015): Time-series analysis of GPS monitoring data from a long-span bridge considering the global deformation due to air temperature changes. Dans: Journal of Civil Structural Health Monitoring, v. 5, n. 4 (septembre 2015).
- (2017): Application of a regression model for predicting traffic volume from dynamic monitoring data to the bridge safety evaluation. Dans: Journal of Civil Structural Health Monitoring, v. 7, n. 4 (septembre 2017).
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