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Structural Health Monitoring

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Showing 26–50 of 197 papers

TitleStatusHype
A Tensor-based Structural Health Monitoring Approach for Aeroservoelastic Systems—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
A Geometric-Aware Perspective and Beyond: Hybrid Quantum-Classical Machine Learning Methods—0
Active learning for regression in engineering populations: A risk-informed approach—0
A CMOS SoC for Wireless Ultrasonic Power/Data Transfer and SHM Measurements on Structures—0
A robust deep learning-based damage identification approach for SHM considering missing data—0
A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic—0
A generalised form for a homogeneous population of structures using an overlapping mixture of Gaussian processes—0
A Programmable CMOS Transceiver for Structural Health Monitoring—0
Compressive-Sensing Data Reconstruction for Structural Health Monitoring: A Machine-Learning Approach—0
Comparison of Tiny Machine Learning Techniques for Embedded Acoustic Emission Analysis—0
Applied Bayesian Structural Health Monitoring: inclinometer data anomaly detection and forecasting—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
A Fast Parallel Tensor Decomposition with Optimal Stochastic Gradient Descent: an Application in Structural Damage Identification—0
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