OpenAlex
PricingAboutJobs
Log inGet started
Work

Prediction of polyurethane foam density using hybrid feature screening and comparative hyperparameter optimization of machine learning models

HTML

Year: 2026
Type: article
Source: Knowledge-Based Systems
DOI: 10.1016/j.knosys.2026.117217
Authors: Oluwayomi Joel Oyejide, Faiz Ahmad, Joseph Ifeanyi Achebo, Joshua Ahurome Eseigbe, Ese Emmanuel Enakireru, Francis Amadhe, Kingsley Udoka Enuezie, John Andrew
Institutions: Universiti Teknologi Petronas, Federal University of Petroleum Resource Effurun, University of Benin, Heriot-Watt University, Petroleum Training Institute
Language: English

Topic: Machine Learning in Materials Science
Subfield: Materials Chemistry
Field: Materials Science
Domain: Physical Sciences
SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: Petroleum Technology Development Fund
OpenAlex ID: W7221908683
FWCI: 1.038
Cites: 40
Cited by: 1
Related to: 9
OpenAlex
Nonprofit
Open DataOpen Data
Open Source
Product
Search
Compare
Pricing
Repositories
Unpaywall
Unsub
Developers
API docs
Data snapshot
Status
Source code
Organization
About
Team
Testimonials
Brand
Jobs
Community
Help center
Contact
Events
Blog
Mailing list
Supporters
Legal
Privacy
Accessibility
Terms