| Structural shape reconstruction with consideration of the reliability of distributed strain data from a Brillouin-scattering-based optical fiber sensor M Nishio, T Mizutani, N Takeda Smart materials and structures 19 (3), 035011, 2010 | 58 | 2010 |
| Time-series analysis of GPS monitoring data from a long-span bridge considering the global deformation due to air temperature changes H Van Le, M Nishio Journal of Civil Structural Health Monitoring 5 (4), 415-425, 2015 | 41 | 2015 |
| Investigation on a curvature‐based damage detection method using displacement under moving vehicle Z Sun, T Nagayama, M Nishio, Y Fujino Structural Control and Health Monitoring 25 (1), e2044, 2018 | 40 | 2018 |
| Innovative technologies for infrastructure construction and maintenance through collaborative robots based on an open design approach K Nagatani, M Abe, K Osuka, P Chun, T Okatani, M Nishio, S Chikushi, ... Advanced Robotics 35 (11), 715-722, 2021 | 38 | 2021 |
| Uncertainty quantification of the finite element model of existing bridges for dynamic analysis M Nishio, J Marin, Y Fujino Journal of Civil Structural Health Monitoring 2, 163-173, 2012 | 27 | 2012 |
| Structural change monitoring of a cable-stayed bridge by time-series modeling of the global thermal deformation acquired by GPS HV Le, M Nishio Journal of Civil Structural Health Monitoring 9 (5), 689-701, 2019 | 22 | 2019 |
| 橋梁定期点検における部材損傷度判定への深層学習の適用に関する検討 鈴木達也， 西尾真由子 土木学会論文集 F3 (土木情報学) 75 (1), 48-59, 2019 | 19 | 2019 |
| Shape identification of variously-deformed composite laminates using Brillouin type distributed strain sensing system with embedded optical fibers M Nishio, T Mizutani, N Takeda Sensors and Smart Structures Technologies for Civil, Mechanical, and …, 2008 | 18 | 2008 |
| Multilevel structural components detection and segmentation toward computer vision-based bridge inspection W Yu, M Nishio Sensors 22 (9), 3502, 2022 | 15 | 2022 |
| Traffic volume estimation in a cable‐stayed bridge using dynamic responses acquired in the structural health monitoring K Wattana, M Nishio Structural Control and Health Monitoring 24 (4), e1890, 2017 | 14 | 2017 |
| Feature extraction for structural dynamics model validation M Nishio, F Hemez, K Worden, G Park, N Takeda, C Farrar Linking Models and Experiments, Volume 2: Proceedings of the 29th IMAC, A …, 2011 | 12 | 2011 |
| Evaluation of dynamic responses of bridges considering traffic flow and surface roughness H Ho, M Nishio Engineering structures 225, 111256, 2020 | 10 | 2020 |
| ベイズ推定による既存構造物数値モデルの不確定性定量化とキャリブレーション 西尾真由子， 藤野陽三 土木学会論文集 A2 (応用力学) 69 (2), I_711-I_718, 2013 | 10 | 2013 |
| ベイズ推定による既存構造物数値モデルの不確定性定量化とキャリブレーション 西尾真由子， 藤野陽三 土木学会論文集 A2 (応用力学) 69 (2), I_711-I_718, 2013 | 10 | 2013 |
| 既存鋼鈑桁橋のモデルパラメータ事後分布を用いた信頼性評価 黒田璃紗， 西尾真由子 土木学会論文集 A1 (構造・地震工学) 72 (3), 380-392, 2016 | 9 | 2016 |
| Structural shape identification using distributed strain data from PPP-BOTDA M Nishio, T Mizutani, N Takeda Sensor Systems and Networks: Phenomena, Technology, and Applications for NDE …, 2007 | 9 | 2007 |
| Quality Evaluation of Fiber-Optic Strain Data Acquired in Long-Term Bridge Monitoring. M Nishio Sensors & Materials 29 (2), 2017 | 8 | 2017 |
| Transfer learning Gaussian process regression surrogate model with explainability for structural reliability analysis under variation in uncertainties T Saida, M Nishio Computers & Structures 281, 107014, 2023 | 7 | 2023 |
| 橋梁点検部材損傷度判定 CNN の可視化による判断根拠の理解と活用 西尾真由子， 栗栖雄一 AI・データサイエンス論文集 1 (J1), 92-99, 2020 | 6 | 2020 |
| Shape reconstruction of composite structures with monitoring of modeling changes using Brillouin scattering based distributed optical fiber strain sensor network M Nishio, N Takeda Smart Sensor Phenomena, Technology, Networks, and Systems 2009 7293, 309-320, 2009 | 6 | 2009 |
