Work

Transfer learning for data-driven wet gas flow metering: Enhancing generalisation in digital measurement systems

Year: 2025

Type: article

Source: Flow Measurement and Instrumentation

DOI: 10.1016/j.flowmeasinst.2025.103146

Authors: Seyedahmad Hosseini, Gabriele Chinello, Gordon Lindsay, Erfan Loweimi, Muhammad Ayub Ansari, Don McGlinchey

Institutions: Glasgow Caledonian University, TÜV SÜD (United Kingdom), University of Edinburgh

Language: English

Topic: Flow Measurement and Analysis

Subfield: Instrumentation

Field: Physics and Astronomy

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

Funder: Engineering Laboratory

OpenAlex ID: W4416713974

FWCI: 0.509

Cites: 37

Cited by: 1

Related to: 10