Work

Semi-Supervised Learning based on Mass Conservation to improve Quality Predictions in a Polymer Pipe Production Process

Year: 2024

Type: conference-paper

Source: International Symposium on Artificial Intelligence and Intelligent Manufacturing (AIIM)

DOI: 10.1109/aiim64537.2024.10934491

Authors: Raphael Hartner, Martin Kozek, Stefan Jakubek, Florian Zittmayr

Institutions: FH JOANNEUM University of Applied Sciences, TU Wien, Wienerberger (Austria)

Language: English

Topic: Fault Detection and Control Systems

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4408860405

FWCI: 0.689

Cites: 15

Cited by: 1

Related to: 10