Digital Stroboscopy Using Event-Driven Imagery
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2022 |
Gothard, Andrew |
Grey-Box Modelling via Gaussian Process Mean Functions for Mechanical Systems
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2022 |
Zhang, Sikai |
Data-Driven Identification of Mistuning in Blisks
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2022 |
Kelly, Sean T. |
An Unsupervised Deep Auto-encoder with One-Class Support Vector Machine for Damage Detection
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2022 |
Wang, Zilong |
Estimation of Elastic Band Gaps Using Data-Driven Modeling
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2022 |
Gosavi, H. |
Towards Population-Based Structural Health Monitoring, Part V: Networks and Databases
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2022 |
Wickramarachchi, Chandula T. |
On an Application of Graph Neural Networks in Population-Based SHM
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2022 |
Tsialiamanis, G. |
On Generating Parametrised Structural Data Using Conditional Generative Adversarial Networks
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2022 |
Tsialiamanis, G. |
High-Rate Damage Classification and Lifecycle Prediction via Deep Learning
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2022 |
Todisco, Mark |
Heteroscedastic Gaussian Processes for Localising Acoustic Emission
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2022 |
Jones, M. R. |
Hybrid Concrete Crack Segmentation and Quantification Across Complex Backgrounds Without a Large Training Dataset
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2022 |
Kang, Dong Ho |
Real-Time Forecasting of Vibrations with Non-stationarities
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2022 |
Singh, Ishrat |
Uncertainty-Quantified Damage Identification for High-Rate Dynamic Systems
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2022 |
Wu, Zihan |
Challenges for SHM from Structural Repairs: An Outlier-Informed Domain Adaptation Approach
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2022 |
Gardner, P. A. |
Bayesian Graph Neural Networks for Strain-Based Crack Localization
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2022 |
Mylonas, C. |
High-Rate Structural Health Monitoring and Prognostics: An Overview
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2022 |
Dodson, Jacob |
Detecting Changes in the Behavior of the Indian River Inlet Bridge Through Cross-Correlation Analysis of Truck-Induced Strains
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2022 |
Chen, Jian |
Routing of Public and Electric Transportation Systems Using Reinforcement Learning
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2022 |
Eshkevari, Soheila Sadeghi |
A Video-Based Crack Detection in Concrete Surfaces
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2022 |
Momeni, Hamed |
Active Learning of Post-earthquake Structural Damage with Co-optimal Information Gain and Reconnaissance Cost
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2022 |
Sheibani, Mohamadreza |