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Bayesian neural network modelling for estimating ecological footprints and blue economy sustainabili...

Bayesian neural network modelling for estimating ecological footprints and blue economy sustainabili...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8c8ec736e075461ebb095679d9fb2748

Bayesian neural network modelling for estimating ecological footprints and blue economy sustainability across G20 nations

About this item

Full title

Bayesian neural network modelling for estimating ecological footprints and blue economy sustainability across G20 nations

Publisher

London: Palgrave Macmillan UK

Journal title

Humanities & social sciences communications, 2025-01, Vol.12 (1), p.83-14, Article 83

Language

English

Formats

Publication information

Publisher

London: Palgrave Macmillan UK

More information

Scope and Contents

Contents

The term “blue economy” has become synonymous with generating income from maritime pursuits while protecting and improving marine environments. Oceans provide both solutions and boosts to a sustainable environment and economy, given the growing need for resources to accomplish the global food, water, and energy nexus and the rapid reduction in land...

Alternative Titles

Full title

Bayesian neural network modelling for estimating ecological footprints and blue economy sustainability across G20 nations

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_8c8ec736e075461ebb095679d9fb2748

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8c8ec736e075461ebb095679d9fb2748

Other Identifiers

ISSN

2662-9992

E-ISSN

2662-9992

DOI

10.1057/s41599-025-04378-x

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