Machine learning-based stochastic subspace identification method for structural modal parameters

Data driven structural dynamic response reconstruction using segment based generative adversarial networks

(2021) Gao Fan et al.   ENGINEERING STRUCTURES

Machine‐learning‐based methods for output‐only structural modal identification

(2021) Dawei Liu et al.   Structural Control & Health Monitoring

Model Updating of Historical Belfries Based on Oma Identification Techniques

(2020) G. Standoli et al.   International Journal of Architectural Heritage

Convolutional neural network–based data recovery method for structural health monitoring

(2020) Byung Kwan Oh et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Dynamic response reconstruction for structural health monitoring using densely connected convolutional networks

(2020) Gao Fan et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Structure‐aware 3D reconstruction for cable‐stayed bridges: A learning‐based method

(2020) Fangqiao Hu et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Group sparsity-aware convolutional neural network for continuous missing data recovery of structural health monitoring

(2020) Zhiyi Tang et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Machine learning paradigm for structural health monitoring

(2020) Yuequan Bao et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Machine Learning Approximation Algorithms for High-Dimensional Fully Nonlinear Partial Differential Equations and Second-order Backward Stochastic Differential Equations

(2019) Christian Beck et al.   JOURNAL OF NONLINEAR SCIENCE

Automatic seismic damage identification of reinforced concrete columns from images by a region-based deep convolutional neural network

(2019) Yang Xu et al.   Structural Control & Health Monitoring

Molecular digital data storage using DNA

(2019) Luis Ceze et al.   NATURE REVIEWS GENETICS

Compressive-sensing data reconstruction for structural health monitoring: a machine-learning approach

(2019) Yuequan Bao et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Automated modal identification using principal component and cluster analysis: Application to a long‐span cable‐stayed bridge

(2019) Jian‐Xiao Mao et al.   Structural Control & Health Monitoring

Improved automated operational modal identification of structures based on clustering

(2019) Gao Fan et al.   Structural Control & Health Monitoring

Real time structural modal identification using recursive canonical correlation analysis and application towards online structural damage detection

(2019) B. Bhowmik et al.   JOURNAL OF SOUND AND VIBRATION

Real-time structural health monitoring of a supertall building under construction based on visual modal identification strategy

(2018) Hyo Seon Park et al.   AUTOMATION IN CONSTRUCTION

State-of-the-Art Review on Modal Identification and Damage Detection of Bridges by Moving Test Vehicles

(2018) Y. B. Yang et al.   International Journal of Structural Stability and Dynamics

Computer vision and deep learning–based data anomaly detection method for structural health monitoring

(2018) Yuequan Bao et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Surface fatigue crack identification in steel box girder of bridges by a deep fusion convolutional neural network based on consumer-grade camera images

(2018) Yang Xu et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

A machine learning approach for the automatic long-term structural health monitoring

(2018) Giacomo Vincenzo Demarie et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Solving high-dimensional partial differential equations using deep learning

(2018) Jiequn Han et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Convolutional neural network-based data anomaly detection method using multiple information for structural health monitoring

(2018) Zhiyi Tang et al.   Structural Control & Health Monitoring

Solving the quantum many-body problem with artificial neural networks

(2017) Giuseppe Carleo et al.   SCIENCE

Operational modal identification and finite element model updating of a coupled building following Bayesian approach

(2017) Jun Hu et al.   Structural Control & Health Monitoring

Structural safety assessment of bowstring type RC arch bridges using ambient vibration testing and finite element model calibration

(2014) Temel Türker et al.   MEASUREMENT

Ambient vibration testing, dynamic identification and model updating of a historic tower

(2011) Dora Foti et al.   NDT & E INTERNATIONAL