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Synergizing Machine Learning Algorithm with Triboelectric Nanogenerators for Advanced Self-Powered S...

Synergizing Machine Learning Algorithm with Triboelectric Nanogenerators for Advanced Self-Powered S...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_be0a7dcb6d9348118269888329997ea4

Synergizing Machine Learning Algorithm with Triboelectric Nanogenerators for Advanced Self-Powered Sensing Systems

About this item

Full title

Synergizing Machine Learning Algorithm with Triboelectric Nanogenerators for Advanced Self-Powered Sensing Systems

Publisher

Switzerland: MDPI AG

Journal title

Nanomaterials (Basel, Switzerland), 2024-01, Vol.14 (2), p.165

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

The advancement of the Internet of Things (IoT) has increased the demand for large-scale intelligent sensing systems. The periodic replacement of power sources for ubiquitous sensing systems leads to significant resource waste and environmental pollution. Human staffing costs associated with replacement also increase the economic burden. The triboe...

Alternative Titles

Full title

Synergizing Machine Learning Algorithm with Triboelectric Nanogenerators for Advanced Self-Powered Sensing Systems

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_be0a7dcb6d9348118269888329997ea4

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_be0a7dcb6d9348118269888329997ea4

Other Identifiers

ISSN

2079-4991

E-ISSN

2079-4991

DOI

10.3390/nano14020165

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