64 citations · 97 across the 4 of their papers we have counts for
4 papers
Machine learning based automated identification of thunderstorms from anemometric records using shapelet transform
Monica Arul, Ahsan Kareem
Detection of thunderstorms is important to the wind hazard community to better understand extreme winds field characteristics and associated wind induced load effects on structures…
Data Anomaly Detection for Structural Health Monitoring of Bridges using Shapelet Transform
Monica Arul, Ahsan Kareem
With the wider availability of sensor technology, a number of Structural Health Monitoring (SHM) systems are deployed to monitor civil infrastructure. The continuous monitoring pro…
Applications of shapelet transform to time series classification of earthquake, wind and wave data
Monica Arul, Ahsan Kareem
Autonomous detection of desired events from large databases using time series classification is becoming increasingly important in civil engineering as a result of continued long-t…
Shapelets for earthquake detection
Monica Arul, Ahsan Kareem
This paper introduces EQShapelets (EarthQuake Shapelets) a time-series shape-based approach embedded in machine learning to autonomously detect earthquakes. It promises to overcome…