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Structural Health Monitoring

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Showing 26–50 of 197 papers

TitleStatusHype
A Hierarchical Deep Convolutional Neural Network and Gated Recurrent Unit Framework for Structural Damage Detection—0
Automatic selection of the best neural architecture for time series forecasting via multi-objective optimization and Pareto optimality conditions—0
Balanced Semi-Supervised Generative Adversarial Network for Damage Assessment from Low-Data Imbalanced-Class Regime—0
Incremental Bayesian tensor learning for structural monitoring data imputation and response forecasting—0
B-BACN: Bayesian Boundary-Aware Convolutional Network for Crack Characterization—0
BOTDA Fiber Sensor System Based on FPGA Accelerated Support Vector Regression—0
A Nonparametric Unsupervised Learning Approach for Structural Damage Detection—0
Blind Identification of State-Space Models in Physical Coordinates—0
Better Together: Using Multi-task Learning to Improve Feature Selection within Structural Datasets—0
Bridging the Reality Gap in Digital Twins with Context-Aware, Physics-Guided Deep Learning—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
CNN-Based Structural Damage Detection using Time-Series Sensor Data—0
Comparison of Tiny Machine Learning Techniques for Embedded Acoustic Emission Analysis—0
Compressive-Sensing Data Reconstruction for Structural Health Monitoring: A Machine-Learning Approach—0
Concrete Surface Crack Detection with Convolutional-based Deep Learning Models—0
Conditional deep generative models as surrogates for spatial field solution reconstruction with quantified uncertainty in Structural Health Monitoring applications—0
CrackESS: A Self-Prompting Crack Segmentation System for Edge Devices—0
Crack Semantic Segmentation using the U-Net with Full Attention Strategy—0
CycleGAN for Undamaged-to-Damaged Domain Translation for Structural Health Monitoring and Damage Detection—0
Damage detection in an uncertain nonlinear beam based on stochastic Volterra series—0
Damage detection in operational wind turbine blades using a new approach based on machine learning—0
Damage detection using in-domain and cross-domain transfer learning—0
Damage identification for bridges using machine learning: Development and application to KW51 bridge—0
Anomaly Detection in Offshore Wind Turbine Structures using Hierarchical Bayesian Modelling—0
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