Intersections between materials science and marine plastics to address environmental degradation drivers: a machine learning approach-Reference-Cited by-同舟云学术

Intersections between materials science and marine plastics to address environmental degradation drivers: a machine learning approach

Published:2023 Issue:12 Volume:2 Page:1629-1640
ISSN:2754-7000
Container-title:Environmental Science: Advances
language:en
Short-container-title:Environ. Sci.: Adv.

Author:

Back Henrique de Medeiros¹^ORCID,Pottmaier Daphiny²,Kneubl Andreusi Camilla¹^ORCID,Alarcon Orestes Estevam¹

Affiliation:

1. Universidade Federal de Santa Catarina, Brazil

2. Nottingham Trent University, UK

Abstract

This article uses natural language processing and expert knowledge to bridge the marine plastics community to polymer science.

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Royal Society of Chemistry (RSC)

Subject

Pollution,Water Science and Technology,Environmental Chemistry,Environmental Engineering

Link

http://pubs.rsc.org/en/content/articlepdf/2023/VA/D3VA00106G

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