Work

A Custom Unsupervised Approach for Pipe-Freeze Online Anomaly Detection

Year: 2021

Type: conference-paper

Source: IEEE World Forum on Internet of Things (WF-IoT)

DOI: 10.1109/wf-iot51360.2021.9595720

Authors: Ahmed Soliman, Sanguthevar Rajasekaran, Patrick Toman, Nalini Ravishanker, Nathan Lally, Hunter D'Addeo

Institution: University of Connecticut

Language: English

Topic: Anomaly Detection Techniques and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W3211634445

FWCI: 0.347

Cites: 14

Cited by: 4

Related to: 10