Work

Energy-Aware Anomaly Detection in Railway Systems

Year: 2023

Type: conference-paper

Source: Lecture notes in networks and systems

DOI: 10.1007/978-3-031-48590-9_23

Authors: Manuel Mazzara, Alberto Sillitti

Institutions: Innopolis University, University of Genoa

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: W4388999981

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Cites: 13

Cited by:

Related to: 10