Home › Entities › academia › Triple-Classification of Respiratory Sounds Using Optimized S-Transform and Deep Residual Networks

Triple-Classification of Respiratory Sounds Using Optimized S-Transform and Deep Residual Networks

Research article (IEEE Access, 2019) · cited 137× · AI/ML
academia openalex:W2921177942
Press Enter · cited answer in seconds

Triple-Classification of Respiratory Sounds Using Optimized S-Transform and Deep Residual Networks

Summary

Triple-Classification of Respiratory Sounds Using Optimized S-Transform and Deep Residual Networks is a scholarly article[1].

Key Facts

  • Triple-Classification of Respiratory Sounds Using Optimized S-Transform and Deep Residual Networks's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Triple-Classification of Respiratory Sounds Using Optimized S-Transform and Deep Residual Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/triple-classification-of-respiratory-sounds-using-optimized-s-transform-and-deep-residual-networks
MLA “Triple-Classification of Respiratory Sounds Using Optimized S-Transform and Deep Residual Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/triple-classification-of-respiratory-sounds-using-optimized-s-transform-and-deep-residual-networks.
BibTeX @misc{4ortxyz_triple-classification-of-respiratory-sounds-using-optimized-s-transform-and-deep-residual-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Triple-Classification of Respiratory Sounds Using Optimized S-Transform and Deep Residual Networks}}, year = {2026}, url = {https://4ort.xyz/entity/triple-classification-of-respiratory-sounds-using-optimized-s-transform-and-deep-residual-networks}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Triple-Classification of Respiratory Sounds Using Optimized S-Transform and Deep Residual Networks — https://4ort.xyz/entity/triple-classification-of-respiratory-sounds-using-optimized-s-transform-and-deep-residual-networks (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/triple-classification-of-respiratory-sounds-using-optimized-s-transform-and-deep-residual-networks · Last refreshed: