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08/09/2023
Street View Data Collection Design for Disaster Reconnaissance
Over the last decade, street-view type images have been used across disc...
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03/29/2021
U.S. Power Resilience for 2002–2017
Prolonged power outages debilitate the economy and threaten public healt...
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01/20/2021
Data-driven sparse polynomial chaos expansion for models with dependent inputs
Polynomial chaos expansions (PCEs) have been used in many real-world eng...
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12/15/2020
Post-Hurricane Damage Assessment Using Satellite Imagery and Geolocation Features
Gaining timely and reliable situation awareness after hazard events such...
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12/15/2020
COVID-19 Effect on Consumer Spending and Foot Traffic
To battle with economic challenges during COVID-19 pandemic, the US gove...
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10/06/2020
Splitting Gaussian Process Regression for Streaming Data
Gaussian processes offer a flexible kernel method for regression. While ...
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08/24/2020
Infrastructure Recovery Curve Estimation Using Gaussian Process Regression on Expert Elicited Data
Infrastructure recovery time estimation is critical to disaster manageme...
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08/03/2020
Modeling of Lifeline Infrastructure Restoration Using Empirical Quantitative Data
Disaster recovery is widely regarded as the least understood phase of th...
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07/09/2019
Identifying the Influential Inputs for Network Output Variance Using Sparse Polynomial Chaos Expansion
Sensitivity analysis (SA) is an important aspect of process automation. ...
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12/13/2018
Benchmark Dataset for Automatic Damaged Building Detection from Post-Hurricane Remotely Sensed Imagery
Rapid damage assessment is of crucial importance to emergency responders...
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07/04/2018
Deep Learning Based Damage Detection on Post-Hurricane Satellite Imagery
After a hurricane, damage assessment is critical to emergency managers a...
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04/25/2018
Cross-Entropy Based Importance Sampling for Stochastic Simulation Models
To efficiently evaluate system reliability based on Monte Carlo simulati...
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03/29/2018
Data-Driven Sensitivity Indices for Models With Dependent Inputs Using the Polynomial Chaos Expansion
Uncertainties exist in both physics-based and data-driven models. Varian...
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10/02/2017