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Waste Classification for Sustainable Development Using Image Recognition with Deep Learning Neural N...

Waste Classification for Sustainable Development Using Image Recognition with Deep Learning Neural N...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2679847914

Waste Classification for Sustainable Development Using Image Recognition with Deep Learning Neural Network Models

About this item

Full title

Waste Classification for Sustainable Development Using Image Recognition with Deep Learning Neural Network Models

Publisher

Basel: MDPI AG

Journal title

Sustainability, 2022-06, Vol.14 (12), p.7222

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

The proper handling of waste is one of the biggest challenges of modern society. Municipal Solid Waste (MSW) requires categorization into a number of types, including bio, plastic, glass, metal, paper, etc. The most efficient techniques proposed by researchers so far include neural networks. In this paper, a detailed summarization was made of the e...

Alternative Titles

Full title

Waste Classification for Sustainable Development Using Image Recognition with Deep Learning Neural Network Models

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2679847914

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2679847914

Other Identifiers

ISSN

2071-1050

E-ISSN

2071-1050

DOI

10.3390/su14127222

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