Work

Syngas production through forest waste gasification and prediction of its species using advanced novel metaheuristic driven hybrid machine learning algorithms

Year: 2025

Type: article

Source: International Journal of Hydrogen Energy

DOI: 10.1016/j.ijhydene.2025.152529

Authors: Nurhan Uregen Guler, Hüseyin Bakır, Zehra Yumurtaci, Ümit Ağbulut

Institutions: Yıldız Technical University, Doğuş University, Western Caspian University

Language: English

Topic: Thermochemical Biomass Conversion Processes

Subfield: Fuel Technology

Field: Energy

Domain: Physical Sciences

SDGs: Affordable and clean energy, Climate action, Responsible consumption and production

Open Access status: closed

OpenAlex ID: W4416345251

FWCI: 1.052

Cites: 51

Cited by: 4

Related to: 10