Yasutaka Narazaki 
- : Intelligent crack identification method for high‐rise buildings aided by synthetic environments. In: The Structural Design of Tall and Special Buildings.
- : Development and validation of graphics‐based digital twin framework for UAV‐aided post‐earthquake inspection of high‐rise buildings. In: The Structural Design of Tall and Special Buildings.
- : Development of large-scale synthetic 3D point cloud datasets for vision-based bridge structural condition assessment. In: Advances in Structural Engineering.
- (2024): Unsupervised Domain Adaptation Approach for Vision-Based Semantic Understanding of Bridge Inspection Scenes without Manual Annotations. In: Journal of Bridge Engineering (ASCE), v. 29, n. 2 (February 2024).
- (2023): Development of a building information model-guided post-earthquake building inspection framework using 3D synthetic environments. In: Earthquake Engineering and Engineering Vibration, v. 22, n. 2 (February 2023).
- (2023): Rapid seismic risk assessment of bridges using UAV aerial photogrammetry. In: Engineering Structures, v. 279 (March 2023).
- (2023): Percussion-based quasi real-time void detection for concrete-filled steel tubular structures using dense learned features. In: Engineering Structures, v. 274 (January 2023).
- (2023): Automated bridge component recognition using close-range images from unmanned aerial vehicles. In: Engineering Structures, v. 274 (January 2023).
- (2022): Performance-based post-earthquake building evaluations using computer vision-derived damage observations. In: Advances in Structural Engineering, v. 25, n. 16 (September 2022).
- (2022): Framework for long-term structural health monitoring by computer vision and vibration-based model updating. In: Case Studies in Construction Materials, v. 16 (June 2022).
- (2022): Vision-based navigation planning for autonomous post-earthquake inspection of reinforced concrete railway viaducts using unmanned aerial vehicles. In: Automation in Construction, v. 137 (May 2022).
- (2022): Bayesian inference of dense structural response using vision-based measurements. In: Engineering Structures, v. 256 (April 2022).
- (2021): Rapid postearthquake safety evaluation of buildings using sparse acceleration measurements. In: Structural Health Monitoring, v. 20, n. 4 (April 2021).
- (2021): Efficient development of vision-based dense three-dimensional displacement measurement algorithms using physics-based graphics models. In: Structural Health Monitoring, v. 20, n. 4 (April 2021).
- (2020): Vision-Based Monitoring of Post-Tensioned Diagonals on Miter Lock Gate. In: Journal of Structural Engineering (ASCE), v. 146, n. 10 (October 2020).
- (2020): MaDnet: multi-task semantic segmentation of multiple types of structural materials and damage in images of civil infrastructure. In: Journal of Civil Structural Health Monitoring, v. 10, n. 5 (September 2020).
- (2020): Vision‐based automated bridge component recognition with high‐level scene consistency. In: Computer-Aided Civil and Infrastructure Engineering, v. 35, n. 5 (May 2020).
- (2019): Sensor fault management techniques for wireless smart sensor networks in structural health monitoring. In: Structural Control and Health Monitoring, v. 26, n. 7 (May 2019).
- (2015): Vibration measurement with routing-free multihop wireless sensor networks and its application to a long-span bridge. Presented at: IABSE Conference: Elegance in structures, Nara, Japan, 13-15 May 2015.
- (2018): Free vibration-based system identification using temporal cross-correlations. In: Structural Control and Health Monitoring, v. 25, n. 8 (August 2018).
Structurae cooperates with
