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Structural Health Monitoring

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Showing 1–50 of 197 papers

TitleStatusHype
Neural Extended Kalman Filters for Learning and Predicting Dynamics of Structural SystemsCode1
NeuralSI: Structural Parameter Identification in Nonlinear Dynamical SystemsCode1
Response Estimation and System Identification of Dynamical Systems via Physics-Informed Neural NetworksCode1
Dataset: Impact Events for Structural Health Monitoring of a Plastic Thin PlateCode1
Bridging POMDPs and Bayesian decision making for robust maintenance planning under model uncertainty: An application to railway systemsCode1
Automatic crack classification by exploiting statistical event descriptors for Deep LearningCode0
Exploring Challenges in Deep Learning of Single-Station Ground Motion RecordsCode0
Stochastic stiffness identification and response estimation of Timoshenko beams via physics-informed Gaussian processesCode0
Canonical-Correlation-Based Fast Feature Selection for Structural Health MonitoringCode0
Classification of Various Types of Damages in Honeycomb Composite Sandwich Structures using Guided Wave Structural Health MonitoringCode0
Predicting Fatigue Crack Growth via Path Slicing and Re-WeightingCode0
Efficient dynamic modal load reconstruction using physics-informed Gaussian processes based on frequency-sparse Fourier basis functionsCode0
Foundation Models for Structural Health MonitoringCode0
Real-Time Video Surveillance Based Structural Health Monitoring of Civil Structures Using Artificial Neural NetworkCode0
Deep generative models for unsupervised delamination detection using guided wavesCode0
Exploring Scalable, Distributed Real-Time Anomaly Detection for Bridge Health MonitoringCode0
Multitask learning for improved scour detection: A dynamic wave tank studyCode0
On statistic alignment for domain adaptation in structural health monitoringCode0
Data-driven Identification of Parametric Governing Equations of Dynamical Systems Using the Signed Cumulative Distribution TransformCode0
Zero-Shot Transfer Learning for Structural Health Monitoring using Generative Adversarial Networks and Spectral MappingCode0
A Meta-Learning Approach to Population-Based Modelling of Structures—0
A Machine Learning-Driven Wireless System for Structural Health Monitoring—0
Active management of battery degradation in wireless sensor network using deep reinforcement learning for group battery replacement—0
Automated Detection and Analysis of Minor Deformations in Flat Walls Due to Railway Vibrations Using LiDAR and Machine Learning—0
A Hierarchical Deep Convolutional Neural Network and Gated Recurrent Unit Framework for Structural Damage Detection—0
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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