Work

Data Augmentation-Based Prediction of System Level Performance under Model and Parameter Uncertainties: Role of Designable Generative Adversarial Networks (DGAN)

Year: 2020

Type: article

Source: Reliability Engineering & System Safety

DOI: 10.1016/j.ress.2020.107316

Authors: Yeongmin Yoo, Ui-Jin Jung, Yong Ha Han, Jongsoo Lee

Institutions: Yonsei University, Hyundai Motor Group (South Korea), Hyundai Motors (South Korea)

Language: English

Topic: Probabilistic and Robust Engineering Design

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: National Research Foundation of Korea

OpenAlex ID: W3104615765

FWCI: 2.745

Cites: 34

Cited by: 41

Related to: 10