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Structural Health Monitoring

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Showing 51–75 of 197 papers

TitleStatusHype
Data-driven Detection and Evaluation of Damages in Concrete Structures: Using Deep Learning and Computer Vision—0
Data-driven Framework for Forward and Inverse Problems in Guided Waves-Based Structural Health Monitoring Under Varying Environmental and Operating Conditions—0
Data-driven method for real-time prediction and uncertainty quantification of fatigue failure under stochastic loading using artificial neural networks and Gaussian process regression—0
Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models—0
Blind Identification of State-Space Models in Physical Coordinates—0
Automatic selection of the best neural architecture for time series forecasting via multi-objective optimization and Pareto optimality conditions—0
Deep learning architectures for data-driven damage detection in nonlinear dynamic systems—0
Deep Learning-Based Fatigue Cracks Detection in Bridge Girders using Feature Pyramid Networks—0
Deep learning-based Visual Measurement Extraction within an Adaptive Digital Twin Framework from Limited Data Using Transfer Learning—0
Deep Learning for Micro-Scale Crack Detection on Imbalanced Datasets Using Key Point Localization—0
Deep learning for structural health monitoring: An application to heritage structures—0
Deep Learning Overloaded Vehicle Identification for Long Span Bridges Based on Structural Health Monitoring Data—0
Deterministic and statistical calibration of constitutive models from full-field data with parametric physics-informed neural networks—0
Delamination prediction in composite panels using unsupervised-feature learning methods with wavelet-enhanced guided wave representations—0
Better Together: Using Multi-task Learning to Improve Feature Selection within Structural Datasets—0
Distributed Machine Learning in Materials that Couple Sensing, Actuation, Computation and Communication—0
Effect of noise on output-only modal identification of beams—0
BOTDA Fiber Sensor System Based on FPGA Accelerated Support Vector Regression—0
Anomaly Detection in Offshore Wind Turbine Structures using Hierarchical Bayesian Modelling—0
Enhancing robustness of data-driven SHM models: adversarial training with circle loss—0
Environmental variation compensated damage classification and localization in ultrasonic guided wave SHM using self-learnt features and Gaussian mixture models—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
Fault Diagnosis of 3D-Printed Scaled Wind Turbine Blades—0
FlexiCrackNet: A Flexible Pipeline for Enhanced Crack Segmentation with General Features Transfered from SAM—0
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