Enhancing YAMNet Model for Lung Sound Classification to Identify Normal and Abnormal Conditions-Reference-Cited by-同舟云学术

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Enhancing YAMNet Model for Lung Sound Classification to Identify Normal and Abnormal Conditions

Published:2024-06-06 Issue: Volume:41 Page:117-123
ISSN:
Container-title:2024 International Conference on Smart Computing, IoT and Machine Learning (SIML)
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Author:

Arifin Jaenal¹,Sardjono Tri Arief²,Kusuma Hendra¹

Affiliation:

1. Institut Teknologi Sepuluh Nopember,Faculty of Intelligent Electrical and Informatics Technology,Department of Electrical Engineering,Surabaya,Indonesia

2. Institut Teknologi Sepuluh Nopember,Faculty of Intelligent Electrical and Informatics Technology,Department of Biomedical Engineering,Surabaya,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10577996/10578073/10578277.pdf?arnumber=10578277

Reference26 articles.

1. The top 10 causes of death

2. Electronic Systems and Intelligent Computing

3. Acquisition and Classification of Lung Sounds for Improving the Efficacy of Auscultation Diagnosis of Pulmonary Diseases

4. Analysis of the Effectiveness of Using Digital Filters in Electronic Stethoscopes

5. Early Detection of Lung Disease using Multi-Class Classifiers

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