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Structural Health Monitoring

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Showing 26–50 of 197 papers

TitleStatusHype
A topological analysis of cointegrated data: a Z24 Bridge case study—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 Tensor-based Structural Health Monitoring Approach for Aeroservoelastic Systems—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
Concrete Surface Crack Detection with Convolutional-based Deep Learning Models—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
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
Applied Bayesian Structural Health Monitoring: inclinometer data anomaly detection and forecasting—0
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