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https://doi.org/10.2139/ssrn.4127226

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inferredcites →https://doi.org/10.1002/stc.1825openalex-extracted
On-line unsupervised detection of early damage
inferredcites →https://doi.org/10.1002/stc.2296openalex-extracted
Convolutional neural network-based data anomaly detection method using multiple information for structural health monitoring
inferredcites →https://doi.org/10.1002/stc.2364openalex-extracted
Unsupervised real‐time SHM technique based on novelty indexes
inferredcites →https://doi.org/10.1002/stc.2552openalex-extracted
Detection method of unlearned pattern using support vector machine in damage classification based on deep neural network
inferredcites →https://doi.org/10.1007/978-3-319-61927-9openalex-extracted
Advances in Condition Monitoring of Machinery in Non-Stationary Operations
inferredcites →https://doi.org/10.1007/s11831-020-09471-9openalex-extracted
Machine Learning Algorithms in Civil Structural Health Monitoring: A Systematic Review
inferredcites →https://doi.org/10.1007/s12205-017-1518-5openalex-extracted
Data-driven support vector machine with optimization techniques for structural health monitoring and damage detection
inferredcites →https://doi.org/10.1007/s13349-015-0108-9openalex-extracted
State-of-the-art in structural health monitoring of large and complex civil infrastructures
inferredcites →https://doi.org/10.1016/j.aei.2013.03.002openalex-extracted
Support vector regression for anomaly detection from measurement histories
inferredcites →https://doi.org/10.1016/j.asoc.2014.11.056openalex-extracted
An improved magnetic charged system search for optimization of truss structures with continuous and discrete variables
inferredcites →https://doi.org/10.1016/j.autcon.2018.10.019openalex-extracted
A survey of automation-enabled human-in-the-loop systems for infrastructure visual inspection
inferredcites →https://doi.org/10.1016/j.eng.2018.11.027openalex-extracted
The State of the Art of Data Science and Engineering in Structural Health Monitoring
inferredcites →https://doi.org/10.1016/j.eng.2018.11.030openalex-extracted
Advances in Computer Vision-Based Civil Infrastructure Inspection and Monitoring
inferredcites →https://doi.org/10.1016/j.eswa.2006.12.022openalex-extracted
Designing strategy for multi-agent system based large structural health monitoring
inferredcites →https://doi.org/10.1016/j.eswa.2009.06.098openalex-extracted
Multi-agent system design and evaluation for collaborative wireless sensor network in large structure health monitoring
inferredcites →https://doi.org/10.1016/j.eswa.2019.05.051openalex-extracted
Data mining methodology employing artificial intelligence and a probabilistic approach for energy-efficient structural health monitoring with noisy and delayed signals
inferredcites →https://doi.org/10.1016/j.eswa.2020.113634openalex-extracted
Convolutional neural network-based safety evaluation method for structures with dynamic responses
inferredcites →https://doi.org/10.1016/j.eswa.2020.114189openalex-extracted
Ultrasonic guided wave based structural damage detection and localization using model assisted convolutional and recurrent neural networks
inferredcites →https://doi.org/10.1016/j.strusafe.2018.12.004openalex-extracted
Pattern recognition approach to assess the residual structural capacity of damaged tall buildings
inferredcites →https://doi.org/10.1016/j.ymssp.2011.06.011openalex-extracted
Vibration based structural health monitoring of an arch bridge: From automated OMA to damage detection
inferredcites →https://doi.org/10.1016/j.ymssp.2020.106646openalex-extracted
On-line updating Gaussian process measurement model for crack prognosis using the particle filter
inferredcites →https://doi.org/10.1061/(asce)st.1943-541x.0001923openalex-extracted
Life-Cycle Performance of Civil Structure and Infrastructure Systems: Survey
inferredcites →https://doi.org/10.1061/(asce)st.1943-541x.0002535openalex-extracted
Review of Bridge Structural Health Monitoring Aided by Big Data and Artificial Intelligence: From Condition Assessment to Damage Detection
inferredcites →https://doi.org/10.1063/1.166141openalex-extracted
Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series
inferredcites →https://doi.org/10.1115/1.3662552openalex-extracted
A New Approach to Linear Filtering and Prediction Problems
inferredcites →https://doi.org/10.1177/0361198120920631openalex-extracted
Comparison between a Linear Regression and an Artificial Neural Network Model to Detect and Localize Damage in the Powder Mill Bridge
inferredcites →https://doi.org/10.1177/1369433220913207openalex-extracted
Damage detection in nonlinear civil structures using kernel principal component analysis
inferredcites →https://doi.org/10.1177/1475921718794953openalex-extracted
Bayesian multi-task learning methodology for reconstruction of structural health monitoring data
inferredcites →https://doi.org/10.1177/1475921719876086openalex-extracted
On the detection of a nonlinear damage in an uncertain nonlinear beam using stochastic Volterra series
inferredcites →https://doi.org/10.1201/b13182openalex-extracted
Structural Health Monitoring of Long-Span Suspension Bridges
inferredcites →https://doi.org/10.2307/2938278openalex-extracted
Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models
inferredcites →https://doi.org/10.2307/2988090openalex-extracted
The Analysis of Time Series: Theory and Practice.
inferredcites →https://doi.org/10.3390/s18051307openalex-extracted
A Review of the Piezoelectric Electromechanical Impedance Based Structural Health Monitoring Technique for Engineering Structures
inferredcites →https://doi.org/10.4236/engineering.2010.211113openalex-extracted
inferredcites →https://doi.org/10.47964/1120.9103.19618openalex-extracted
MITIGATION OF ENVIRONMENTAL VARIABILITIES IN DAMAGE DETECTION: A COMPARATIVE STUDY OF TWO SEMI-SUPERVISED APPROACHES
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