Work

Identifying Maintenance Needs with Machine Learning: a Case Study in Railways

Year: 2024

Type: conference-paper

Source: IEEE International Requirements Engineering Conference Workshops (REW)

DOI: 10.1109/rew61692.2024.00008

Authors: Raihana Ferdous, Giorgio Spagnolo, Alessandro Borselli, Lucio Rota, Alessio Ferrari

Institution: National Research Council

Language: English

Topic: Reliability and Maintenance Optimization

Subfield: Safety, Risk, Reliability and Quality

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4401719342

FWCI: 5.611

Cites: 18

Cited by: 7

Related to: 10