research
∙
06/07/2023
Optimal sensor placement for reconstructing wind pressure field around buildings using compressed sensing
Deciding how to optimally deploy sensors in a large, complex, and spatia...
share
research
∙
01/25/2022
A Machine Learning-based Characterization Framework for Parametric Representation of Nonlinear Sloshing
The growing interest in creating a parametric representation of liquid s...
research
∙
01/10/2021
Machine learning based automated identification of thunderstorms from anemometric records using shapelet transform
Detection of thunderstorms is important to the wind hazard community to ...
research
∙
08/31/2020
Data Anomaly Detection for Structural Health Monitoring of Bridges using Shapelet Transform
With the wider availability of sensor technology, a number of Structural...
research
∙
04/22/2020
Applications of shapelet transform to time series classification of earthquake, wind and wave data
Autonomous detection of desired events from large databases using time s...
research
∙
04/11/2020
Probabilistic Evolution of Stochastic Dynamical Systems: A Meso-scale Perspective
Stochastic dynamical systems arise naturally across nearly all areas of ...
research
∙
11/20/2019
Shapelets for earthquake detection
This paper introduces EQShapelets (EarthQuake Shapelets) a time-series s...
research
∙
07/08/2019
Bayesian deep learning with hierarchical prior: Predictions from limited and noisy data
Datasets in engineering applications are often limited and contaminated,...
research
∙
06/05/2019
