Data-driven modeling of consumer product satisfaction using an orthogonal arrangement of sound attributes
Year: 2024
Type: conference-paper
Source: NOISE-CON proceedings
DOI: 10.3397/in_2024_2243
Authors: Daniel LESKO, Vinh NGUYEN
Institution: Michigan Technological University
Language: English
Subfield: Automotive Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: closed
OpenAlex ID: W4403268230