Work

Time Series Forecasting to Detect Anomalous Behavior in Multiphase Flow Meters

Year: 2024

Type: conference-paper

Source: IEEE Forum on Research and Technologies for Society and Industry Innovation (RTSI)

DOI: 10.1109/rtsi61910.2024.10761679

Authors: Tommaso Barbariol, Davide Masiero, Mattia Fanan, Enrico Feltresi, Gian Antonio Susto

Institution: University of Padua

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: W4404740606

FWCI:

Cites: 16

Cited by:

Related to: 10