Work

Highly Accurate Anomaly Detection for the Combustion System of a Marine Engine Using Multivariate Transformers

Year: 2024

Type: conference-paper

Source: IEEE International Symposium on Intelligent Systems and Informatics (SISY)

DOI: 10.1109/sisy62279.2024.10737628

Authors: Iman Sharifirad, Jalil Boudjadar, Peter Gorm Larsen

Institution: Aarhus University

Language: English

Topic: Anomaly Detection Techniques and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy

Open Access status: closed

OpenAlex ID: W4404057294

FWCI: 0.882

Cites: 26

Cited by: 3

Related to: 10