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Non-Invasive Method for Tuberculosis Exhaled Breath Classification Using Electronic Nose

Research article (IEEE Sensors Journal, 2021) · cited 52× · AI/ML
academia openalex:W3130019085
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Non-Invasive Method for Tuberculosis Exhaled Breath Classification Using Electronic Nose

Summary

Non-Invasive Method for Tuberculosis Exhaled Breath Classification Using Electronic Nose is a scholarly article[1].

Key Facts

  • Non-Invasive Method for Tuberculosis Exhaled Breath Classification Using Electronic Nose'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). Non-Invasive Method for Tuberculosis Exhaled Breath Classification Using Electronic Nose. Retrieved May 24, 2026, from https://4ort.xyz/entity/non-invasive-method-for-tuberculosis-exhaled-breath-classification-using-electronic-nose
MLA “Non-Invasive Method for Tuberculosis Exhaled Breath Classification Using Electronic Nose.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/non-invasive-method-for-tuberculosis-exhaled-breath-classification-using-electronic-nose.
BibTeX @misc{4ortxyz_non-invasive-method-for-tuberculosis-exhaled-breath-classification-using-electronic-nose_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Non-Invasive Method for Tuberculosis Exhaled Breath Classification Using Electronic Nose}}, year = {2026}, url = {https://4ort.xyz/entity/non-invasive-method-for-tuberculosis-exhaled-breath-classification-using-electronic-nose}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Non-Invasive Method for Tuberculosis Exhaled Breath Classification Using Electronic Nose — https://4ort.xyz/entity/non-invasive-method-for-tuberculosis-exhaled-breath-classification-using-electronic-nose (retrieved 2026-05-24)

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