Machine learning models for the prediction of polychlorinated biphenyls and asbestos materials in buildings, Resources, Conservation, and Recycling (2023)

Summary

This is a publication. If there is no link to the publication on this page, you can try the pre-formated search via the search engines listed on this page.

Authors: Pei-Yu Wu, Claes Sandels, Tim Johansson, Mikael Mangold, Kristina Mjörnell,

Journal title: Resources, Conservation and Recycling

Journal number: Resources, Conservation and Recycling Volume 199, December 2023, 107253

Journal publisher: Elsevier BV

Published year: 2023

DOI identifier: 10.1016/j.resconrec.2023.107253

ISSN: 0921-3449