Home ›
Entities
› academia
› Automatic COVID-19 disease diagnosis using 1D convolutional neural network and augmentation with human respiratory sound based on parameters: cough, breath, and voice
Automatic COVID-19 disease diagnosis using 1D convolutional neural network and augmentation with human respiratory sound based on parameters: cough, breath, and voice
Research article (AIMS Public Health, 2021) · cited 80× · AI/ML
Automatic COVID-19 disease diagnosis using 1D convolutional neural network and augmentation with human respiratory sound based on parameters: cough, breath, and voice
Summary
Automatic COVID-19 disease diagnosis using 1D convolutional neural network and augmentation with human respiratory sound based on parameters: cough, breath, and voice is a scholarly article[1].
Key Facts
Automatic COVID-19 disease diagnosis using 1D convolutional neural network and augmentation with human respiratory sound based on parameters: cough, breath, and voice's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Automatic COVID-19 disease diagnosis using 1D convolutional neural network and augmentation with human respiratory sound based on parameters: cough, breath, and voice. Retrieved May 24, 2026, from https://4ort.xyz/entity/automatic-covid-19-disease-diagnosis-using-1d-convolutional-neural-network-and-augmentation-with-human-respiratory-sound
MLA“Automatic COVID-19 disease diagnosis using 1D convolutional neural network and augmentation with human respiratory sound based on parameters: cough, breath, and voice.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automatic-covid-19-disease-diagnosis-using-1d-convolutional-neural-network-and-augmentation-with-human-respiratory-sound.
BibTeX@misc{4ortxyz_automatic-covid-19-disease-diagnosis-using-1d-convolutional-neural-network-and-augmentation-with-human-respiratory-sound_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automatic COVID-19 disease diagnosis using 1D convolutional neural network and augmentation with human respiratory sound based on parameters: cough, breath, and voice}}, year = {2026}, url = {https://4ort.xyz/entity/automatic-covid-19-disease-diagnosis-using-1d-convolutional-neural-network-and-augmentation-with-human-respiratory-sound}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automatic COVID-19 disease diagnosis using 1D convolutional neural network and augmentation with human respiratory sound based on parameters: cough, breath, and voice — https://4ort.xyz/entity/automatic-covid-19-disease-diagnosis-using-1d-convolutional-neural-network-and-augmentation-with-human-respiratory-sound (retrieved 2026-05-24)