Machine learning‐assisted industrial symbiosis: Testing the ability of word vectors to estimate similarity for material substitutions-Reference-Cited by-同舟云学术

Machine learning‐assisted industrial symbiosis: Testing the ability of word vectors to estimate similarity for material substitutions

Published:2022-02 Issue:1 Volume:26 Page:27-43
ISSN:1088-1980
Container-title:Journal of Industrial Ecology
language:en
Short-container-title:J of Industrial Ecology

Author:

Davis Chris¹^ORCID,Aid Graham²^ORCID

Affiliation:

1. Invenia Labs Cambridge UK

2. Ragn‐Sells Group Stockholm Sweden

Publisher

Wiley

Subject

General Social Sciences,General Environmental Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jiec.13245

Reference57 articles.

1. Looplocal – a heuristic visualization tool to support the strategic facilitation of industrial symbiosis

2. Development of the tool SymbioSys to support the transition towards a circular economy based on industrial symbiosis strategies;Álvarez R.;Waste and Biomass Valorization,2016

3. Continuous Distributed Representation of Biological Sequences for Deep Proteomics and Genomics

4. Normalized (pointwise ) mutual information in collocation extraction;Bouma G.;Proceedings of German Society for Computational Linguistics (GSCL 2009),2009

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