ADIC: Anomaly Detection Integrated Circuit in 65nm CMOS utilizing Approximate Computing

no code implementations • 21 Aug 2020 • Bapi Kar, Pradeep Kumar Gopalakrishnan, Sumon Kumar Bose, Mohendra Roy, Arindam Basu

An additional 42% energy saving can be achieved when a lighter version of OPIUM method is used for training with the same number of data samples lead to no significant compromise on the quality of inference.

Anomaly Detection One-class classifier

ADEPOS: A Novel Approximate Computing Framework for Anomaly Detection Systems and its Implementation in 65nm CMOS

no code implementations • 4 Dec 2019 • Sumon Kumar Bose, Bapi Kar, Mohendra Roy, Pradeep Kumar Gopalakrishnan, Zhang Lei, Aakash Patil, Arindam Basu

However, on the detection of anomalies, the complexity of the network and computing precision are adaptively increased for accurate predictions.

Anomaly Detection Edge-computing +1

A Stacked Autoencoder Neural Network based Automated Feature Extraction Method for Anomaly detection in On-line Condition Monitoring

no code implementations • 19 Oct 2018 • Mohendra Roy, Sumon Kumar Bose, Bapi Kar, Pradeep Kumar Gopalakrishnan, Arindam Basu

Most of these are handcrafted features, where these are manually obtained based on the nature of the raw data.

Anomaly Detection