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Harnessing highly efficient triboelectric sensors and machine learning for self-powered intelligent security applications

Research article (Materials Today Advances, 2023) · cited 17× · AI/ML
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Harnessing highly efficient triboelectric sensors and machine learning for self-powered intelligent security applications

Summary

Harnessing highly efficient triboelectric sensors and machine learning for self-powered intelligent security applications is a scholarly article[1].

Key Facts

  • Harnessing highly efficient triboelectric sensors and machine learning for self-powered intelligent security applications's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Harnessing highly efficient triboelectric sensors and machine learning for self-powered intelligent security applications. Retrieved May 24, 2026, from https://4ort.xyz/entity/harnessing-highly-efficient-triboelectric-sensors-and-machine-learning-for-self-powered-intelligent-security-application
MLA “Harnessing highly efficient triboelectric sensors and machine learning for self-powered intelligent security applications.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/harnessing-highly-efficient-triboelectric-sensors-and-machine-learning-for-self-powered-intelligent-security-application.
BibTeX @misc{4ortxyz_harnessing-highly-efficient-triboelectric-sensors-and-machine-learning-for-self-powered-intelligent-security-application_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Harnessing highly efficient triboelectric sensors and machine learning for self-powered intelligent security applications}}, year = {2026}, url = {https://4ort.xyz/entity/harnessing-highly-efficient-triboelectric-sensors-and-machine-learning-for-self-powered-intelligent-security-application}, note = {Accessed: 2026-05-24}}
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