Detecting Fuel Adulteration for Otto-Cycle Vehicle Using Onboard Diagnostics Data and Supervised Machine Learning
Year: 2026
Type: article
Institution: Universidade Estadual de Campinas (UNICAMP)
Language: English
Topic: Engine and Fuel Emissions
Subfield: Automotive Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: closed
OpenAlex ID: W7133309210