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Structural Health Monitoring

Papers

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Showing 126–150 of 197 papers

TitleStatusHype
On partitioning of an SHM problem and parallels with transfer learning—0
On an application of graph neural networks in population based SHM—0
On generating parametrised structural data using conditional generative adversarial networks—0
CycleGAN for Undamaged-to-Damaged Domain Translation for Structural Health Monitoring and Damage Detection—0
What's Cracking? A Review and Analysis of Deep Learning Methods for Structural Crack Segmentation, Detection and Quantification—0
Time-varying Identification of Guided Wave Propagation under Varying Temperature via Non-Stationary Time Series Models—0
On robust risk-based active-learning algorithms for enhanced decision support—0
Generative Adversarial Networks for Data Generation in Structural Health Monitoring—0
Generative Adversarial Networks for Labelled Vibration Data Generation—0
Generative Adversarial Networks for Labeled Acceleration Data Augmentation for Structural Damage Detection—0
Environmental variation compensated damage classification and localization in ultrasonic guided wave SHM using self-learnt features and Gaussian mixture models—0
A Fast Parallel Tensor Decomposition with Optimal Stochastic Gradient Descent: an Application in Structural Damage Identification—0
A CMOS SoC for Wireless Ultrasonic Power/Data Transfer and SHM Measurements on Structures—0
Blind Identification of State-Space Models in Physical Coordinates—0
Wave-Informed Matrix Factorization with Global Optimality Guarantees—0
Gaussian Process Regression for Active Sensing Probabilistic Structural Health Monitoring: Experimental Assessment Across Multiple Damage and Loading Scenarios—0
Canonical-Correlation-Based Fast Feature Selection for Structural Health MonitoringCode0
On risk-based active learning for structural health monitoring—0
A Computational Framework for Modeling Complex Sensor Network Data Using Graph Signal Processing and Graph Neural Networks in Structural Health Monitoring—0
Crack Semantic Segmentation using the U-Net with Full Attention Strategy—0
Wave based damage detection in solid structures using artificial neural networks—0
Prediction of Ultrasonic Guided Wave Propagation in Solid-fluid and their Interface under Uncertainty using Machine Learning—0
Online structural health monitoring by model order reduction and deep learning algorithms—0
Data-driven method for real-time prediction and uncertainty quantification of fatigue failure under stochastic loading using artificial neural networks and Gaussian process regression—0
Foundations of Population-Based SHM, Part IV: The Geometry of Spaces of Structures and their Feature Spaces—0
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