2 citations · 3 across the 3 of their papers we have counts for
3 papers
Efficiently Discovering Frequent Motifs in Large-scale Sensor Data
Puneet Agarwal, Gautam Shroff, Sarmimala Saikia +1
While analyzing vehicular sensor data, we found that frequently occurring waveforms could serve as features for further analysis, such as rule mining, classification, and anomaly d…
Warranty Cost Estimation Using Bayesian Network
Karamjit Singh, Puneet Agarwal, Gautam Shroff
All multi-component product manufacturing companies face the problem of warranty cost estimation. Failure rate analysis of components plays a key role in this problem. Data source…
Multi-Sensor Event Detection using Shape Histograms
Ehtesham Hassan, Gautam Shroff, Puneet Agarwal
Vehicular sensor data consists of multiple time-series arising from a number of sensors. Using such multi-sensor data we would like to detect occurrences of specific events that ve…