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A deep CNN-based acoustic model for the identification of lung diseases utilizing extracted MFCC features from respiratory sounds
Research article (Multimedia Tools and Applications, 2024) · cited 28× · AI/ML
A deep CNN-based acoustic model for the identification of lung diseases utilizing extracted MFCC features from respiratory sounds
Summary
A deep CNN-based acoustic model for the identification of lung diseases utilizing extracted MFCC features from respiratory sounds is a scholarly article[1].
Key Facts
A deep CNN-based acoustic model for the identification of lung diseases utilizing extracted MFCC features from respiratory sounds's instance of is recorded as scholarly article[2].
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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.
APA4ort.xyz Knowledge Graph. (2026). A deep CNN-based acoustic model for the identification of lung diseases utilizing extracted MFCC features from respiratory sounds. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-deep-cnn-based-acoustic-model-for-the-identification-of-lung-diseases-utilizing-extracted-mfcc-features-from-respirato
MLA“A deep CNN-based acoustic model for the identification of lung diseases utilizing extracted MFCC features from respiratory sounds.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-deep-cnn-based-acoustic-model-for-the-identification-of-lung-diseases-utilizing-extracted-mfcc-features-from-respirato.
BibTeX@misc{4ortxyz_a-deep-cnn-based-acoustic-model-for-the-identification-of-lung-diseases-utilizing-extracted-mfcc-features-from-respirato_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A deep CNN-based acoustic model for the identification of lung diseases utilizing extracted MFCC features from respiratory sounds}}, year = {2026}, url = {https://4ort.xyz/entity/a-deep-cnn-based-acoustic-model-for-the-identification-of-lung-diseases-utilizing-extracted-mfcc-features-from-respirato}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A deep CNN-based acoustic model for the identification of lung diseases utilizing extracted MFCC features from respiratory sounds — https://4ort.xyz/entity/a-deep-cnn-based-acoustic-model-for-the-identification-of-lung-diseases-utilizing-extracted-mfcc-features-from-respirato (retrieved 2026-05-24)
