SOTAVerified

Structural Health Monitoring

Papers

Showing 141150 of 197 papers

TitleStatusHype
Gaussian Process Regression for Active Sensing Probabilistic Structural Health Monitoring: Experimental Assessment Across Multiple Damage and Loading Scenarios0
Canonical-Correlation-Based Fast Feature Selection for Structural Health MonitoringCode0
On risk-based active learning for structural health monitoring0
A Computational Framework for Modeling Complex Sensor Network Data Using Graph Signal Processing and Graph Neural Networks in Structural Health Monitoring0
Crack Semantic Segmentation using the U-Net with Full Attention Strategy0
Wave based damage detection in solid structures using artificial neural networks0
Prediction of Ultrasonic Guided Wave Propagation in Solid-fluid and their Interface under Uncertainty using Machine Learning0
Online structural health monitoring by model order reduction and deep learning algorithms0
Data-driven method for real-time prediction and uncertainty quantification of fatigue failure under stochastic loading using artificial neural networks and Gaussian process regression0
Foundations of Population-Based SHM, Part IV: The Geometry of Spaces of Structures and their Feature Spaces0
Show:102550
← PrevPage 15 of 20Next →

No leaderboard results yet.