10 citations · 10 across the 2 of their papers we have counts for
4 papers
ADIC: Anomaly Detection Integrated Circuit in 65nm CMOS utilizing Approximate Computing
Bapi Kar, Pradeep Kumar Gopalakrishnan, Sumon Kumar Bose +2
In this paper, we present a low-power anomaly detection integrated circuit (ADIC) based on a one-class classifier (OCC) neural network. The ADIC achieves low-power operation throug…
ADEPOS: A Novel Approximate Computing Framework for Anomaly Detection Systems and its Implementation in 65nm CMOS
Sumon Kumar Bose, Bapi Kar, Mohendra Roy +4
To overcome the energy and bandwidth limitations of traditional IoT systems, edge computing or information extraction at the sensor node has become popular. However, now it is impo…
ADEPOS: Anomaly Detection based Power Saving for Predictive Maintenance using Edge Computing
Sumon Kumar Bose, Bapi Kar, Mohendra Roy +2
In industry 4.0, predictive maintenance(PM) is one of the most important applications pertaining to the Internet of Things(IoT). Machine learning is used to predict the possible fa…
A Stacked Autoencoder Neural Network based Automated Feature Extraction Method for Anomaly detection in On-line Condition Monitoring
Mohendra Roy, Sumon Kumar Bose, Bapi Kar +2
Condition monitoring is one of the routine tasks in all major process industries. The mechanical parts such as a motor, gear, bearings are the major components of a process industr…