ADEPOS : anomaly detection based power saving for predictive maintenance using edge computing by Bose, Sumon Kumar, Kar, Bapi, Roy, Mohendra, Gopalakrishnan, Pradeep Kumar, Basu, Arindam

Subjects: “…Anomaly Detection…”
Get full text
Get full text
Get full text

ADIC: anomaly detection integrated circuit in 65-nm CMOS utilizing approximate computing by Kar, Bapi, Gopalakrishnan, Pradeep Kumar, Bose, Sumon Kumar, Roy, Mohendra, Basu, Arindam

Subjects: Get full text

ADEPOS : a novel approximate computing framework for anomaly detection systems and its implementation in 65-nm CMOS by Bose, Sumon Kumar, Kar, Bapi, Roy, Mohendra, Gopalakrishnan, Pradeep Kumar, Zhang, Lei, Patil, Aakash, Basu, Arindam

“…In this paper, we present an approximate computing method to reduce the computation energy of a specific type of IoT system used for anomaly detection (e.g. in predictive maintenance, epileptic seizure detection, etc). …”
Get full text

A stacked autoencoder neural network based automated feature extraction method for anomaly detection in on-line condition monitoring by Roy, Mohendra, Bose, Sumon Kumar, Kar, Bapi, Gopalakrishnan, Pradeep Kumar, Basu, Arindam

Get full text
Get full text
Get full text

Live demonstration : autoencoder-based predictive maintenance for IoT by Gopalakrishnan, Pradeep Kumar, Kar, Bapi, Bose, Sumon Kumar, Roy, Mohendra, Basu, Arindam

“…Faults can be triggered artificially in real-time to demonstrate anomaly detection.…”
Get full text

Edge processing in IoT using approximate and in-memory computing by Bose, Sumon Kumar

“…In our work, we propose an anomaly detection scheme that can be trained only using healthy machine data. …”
Get full text