SOTAVerified

Structural Health Monitoring

Papers

Showing 51–100 of 197 papers

TitleStatusHype
Leveraging SPD Matrices on Riemannian Manifolds in Quantum Classical Hybrid Models for Structural Health Monitoring—0
On the Condition Monitoring of Bolted Joints through Acoustic Emission and Deep Transfer Learning: Generalization, Ordinal Loss and Super-Convergence—0
Deterministic and statistical calibration of constitutive models from full-field data with parametric physics-informed neural networks—0
Stochastic Inference of Plate Bending from Heterogeneous Data: Physics-informed Gaussian Processes via Kirchhoff-Love Theory—0
Foundation Models for Structural Health MonitoringCode0
Smart structural health monitoring (SHM) system for on-board localization of defects in pipes using torsional ultrasonic guided waves—0
Exploring Challenges in Deep Learning of Single-Station Ground Motion RecordsCode0
Anomaly Detection in Offshore Wind Turbine Structures using Hierarchical Bayesian Modelling—0
Mechanics-Informed Autoencoder Enables Automated Detection and Localization of Unforeseen Structural Damage—0
SHM-Traffic: DRL and Transfer learning based UAV Control for Structural Health Monitoring of Bridges with Traffic—0
Fully Data-Driven Model for Increasing Sampling Rate Frequency of Seismic Data using Super-Resolution Generative Adversarial Networks—0
Concrete Surface Crack Detection with Convolutional-based Deep Learning Models—0
Operational modal analysis of under-determined system based on Bayesian CP decomposition—0
Classification of Various Types of Damages in Honeycomb Composite Sandwich Structures using Guided Wave Structural Health MonitoringCode0
CNN-Based Structural Damage Detection using Time-Series Sensor Data—0
Quantifying the value of information transfer in population-based SHM—0
Population-based wind farm monitoring based on a spatial autoregressive approach—0
Surrogate modeling for stochastic crack growth processes in structural health monitoring applications—0
Unsupervised deep learning framework for temperature-compensated damage assessment using ultrasonic guided waves on edge device—0
Full-scale modal testing of a Hawk T1A aircraft for benchmarking vibration-based methods—0
Stochastic stiffness identification and response estimation of Timoshenko beams via physics-informed Gaussian processesCode0
From Classification to Segmentation with Explainable AI: A Study on Crack Detection and Growth Monitoring—0
Predicting Fatigue Crack Growth via Path Slicing and Re-WeightingCode0
YOLO series target detection algorithms for underwater environments—0
Output-only Modal Identification of beams with different boundary condition—0
Deep Learning Overloaded Vehicle Identification for Long Span Bridges Based on Structural Health Monitoring Data—0
Data-driven Identification of Parametric Governing Equations of Dynamical Systems Using the Signed Cumulative Distribution Transform—0
Enhancing In-Situ Structural Health Monitoring through RF Energy-Powered Sensor Nodes and Mobile Platform—0
Synergistic Signal Denoising for Multimodal Time Series of Structure Vibration—0
A physics-informed machine learning model for reconstruction of dynamic loads—0
Deep generative models for unsupervised delamination detection using guided wavesCode0
Physics-informed Gaussian process model for Euler-Bernoulli beam elements—0
Physics-based Reduced Order Modeling for Uncertainty Quantification of Guided Wave Propagation using Bayesian Optimization—0
A decision framework for selecting information-transfer strategies in population-based SHM—0
Applied Bayesian Structural Health Monitoring: inclinometer data anomaly detection and forecasting—0
Robust Wind Turbine Blade Segmentation from RGB Images in the Wild—0
Non-contact Sensing for Anomaly Detection in Wind Turbine Blades: A focus-SVDD with Complex-Valued Auto-Encoder Approach—0
When is an SHM problem a Multi-Task-Learning problem?—0
Neural operator for structural simulation and bridge health monitoring—0
Quantum-Based Combinatorial Optimization for Optimal Sensor Placement in Civil Structures—0
Prospects and Applications of Incoherent Light in Non-contact Wireless Sensing Systems—0
Integrating Edge-AI in Structural Health Monitoring domain—0
A robust deep learning-based damage identification approach for SHM considering missing data—0
Towards risk-informed PBSHM: Populations as hierarchical systems—0
Structural Vibration Signal Denoising Using Stacking Ensemble of Hybrid CNN-RNN—0
Better Together: Using Multi-task Learning to Improve Feature Selection within Structural Datasets—0
A Meta-Learning Approach to Population-Based Modelling of Structures—0
Conditional deep generative models as surrogates for spatial field solution reconstruction with quantified uncertainty in Structural Health Monitoring applications—0
B-BACN: Bayesian Boundary-Aware Convolutional Network for Crack Characterization—0
Quantification of Damage Using Indirect Structural Health Monitoring—0
Show:102550
← PrevPage 2 of 4Next →

No leaderboard results yet.