Work

A methodology for data-driven risk analysis based on virtual-reality-generated information and generative adversarial network

Year: 2025

Type: article

Source: Reliability Engineering & System Safety

DOI: 10.1016/j.ress.2025.111157

Authors: Huixing Meng, Jialei Liao, Jiali Liang, Xiuquan Liu

Institutions: Beijing Institute of Technology, State Key Laboratory of Explosion Science and Safety Protection, China University of Petroleum, East China

Language: English

Topic: Risk and Safety Analysis

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, State Key Laboratory of Virtual Reality Technology and Systems

Awards: G1796263955, G439319170

OpenAlex ID: W4409464403

FWCI: 4.502

Cites: 52

Cited by: 7

Related to: 10