Work

Advanced Driving Cycle Generation Using XGBoost: A Case Study in Iğdır, Türkiye

Year: 2024

Type: conference-paper

Source: International Artificial Intelligence and Data Processing Symposium (IDAP)

DOI: 10.1109/idap64064.2024.10710756

Author: Fesih Keskin

Language: English

Topic: Vehicle emissions and performance

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Industry, innovation and infrastructure, Climate action

Open Access status: closed

OpenAlex ID: W4403447239

FWCI: 2.354

Cites: 12

Cited by: 4

Related to: 10