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Structural Health Monitoring

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Showing 151–197 of 197 papers

TitleStatusHype
Structural Vibration Monitoring with Diffractive Optical Processors—0
Structured Machine Learning Tools for Modelling Characteristics of Guided Waves—0
Subsurface defect imaging in PZT ceramics using dual point contact excitation and detection—0
Surrogate modeling for stochastic crack growth processes in structural health monitoring applications—0
Survey of Quantization Techniques for On-Device Vision-based Crack Detection—0
Synergistic Signal Denoising for Multimodal Time Series of Structure Vibration—0
System-reliability based multi-ensemble of GAN and one-class joint Gaussian distributions for unsupervised real-time structural health monitoring—0
Time-varying Identification of Guided Wave Propagation under Varying Temperature via Non-Stationary Time Series Models—0
Towards an active-learning approach to resource allocation for population-based damage prognosis—0
Towards a Universal Vibration Analysis Dataset: A Framework for Transfer Learning in Predictive Maintenance and Structural Health Monitoring—0
Towards risk-informed PBSHM: Populations as hierarchical systems—0
Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data—0
Uncertainty Aware Deep Neural Network for Multistatic Localization with Application to Ultrasonic Structural Health Monitoring—0
Unsupervised deep learning framework for temperature-compensated damage assessment using ultrasonic guided waves on edge device—0
Semi-supervised detection of structural damage using Variational Autoencoder and a One-Class Support Vector Machine—0
Value of structural health information in partially observable stochastic environments—0
Very High-Resolution Bridge Deformation Monitoring Using UAV-based Photogrammetry—0
Vibration-Based Damage Detection in Wind Turbine Blades using Phase-Based Motion Estimation and Motion Magnification—0
Structural Vibration Signal Denoising Using Stacking Ensemble of Hybrid CNN-RNN—0
Vision-based autonomous structural damage detection using data-driven methods—0
Wave based damage detection in solid structures using artificial neural networks—0
Wave-Informed Matrix Factorization with Global Optimality Guarantees—0
Bridge Structural Health Monitoring using Asynchronous Mobile Sensing Data—0
What's Cracking? A Review and Analysis of Deep Learning Methods for Structural Crack Segmentation, Detection and Quantification—0
When does a bridge become an aeroplane?—0
When is an SHM problem a Multi-Task-Learning problem?—0
YOLO series target detection algorithms for underwater environments—0
On partitioning of an SHM problem and parallels with transfer learning—0
A Bayesian methodology for localising acoustic emission sources in complex structures—0
A CMOS SoC for Wireless Ultrasonic Power/Data Transfer and SHM Measurements on Structures—0
A Computational Framework for Modeling Complex Sensor Network Data Using Graph Signal Processing and Graph Neural Networks in Structural Health Monitoring—0
A Convolutional Cost-Sensitive Crack Localization Algorithm for Automated and Reliable RC Bridge Inspection—0
Active learning for regression in engineering populations: A risk-informed approach—0
Active management of battery degradation in wireless sensor network using deep reinforcement learning for group battery replacement—0
Addressing the Pitfalls of Image-Based Structural Health Monitoring: A Focus on False Positives, False Negatives, and Base Rate Bias—0
A decision framework for selecting information-transfer strategies in population-based SHM—0
A Fast Parallel Tensor Decomposition with Optimal Stochastic Gradient Descent: an Application in Structural Damage Identification—0
A generalised form for a homogeneous population of structures using an overlapping mixture of Gaussian processes—0
A Geometric-Aware Perspective and Beyond: Hybrid Quantum-Classical Machine Learning Methods—0
A Hierarchical Deep Convolutional Neural Network and Gated Recurrent Unit Framework for Structural Damage Detection—0
A Machine Learning-Driven Wireless System for Structural Health Monitoring—0
A Meta-Learning Approach to Population-Based Modelling of Structures—0
Anomaly Detection in Offshore Wind Turbine Structures using Hierarchical Bayesian Modelling—0
A Nonparametric Unsupervised Learning Approach for Structural Damage Detection—0
An optimal baseline selection methodology for data-driven damage detection and temperature compensation in acousto-ultrasonics—0
A physics-informed machine learning model for reconstruction of dynamic loads—0
Applied Bayesian Structural Health Monitoring: inclinometer data anomaly detection and forecasting—0
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