Federated few-shot learning for cough classification with edge devices-Reference-Cited by-同舟云学术

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Federated few-shot learning for cough classification with edge devices

Published:2023-09-27 Issue:23 Volume:53 Page:28241-28253
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Hoang Ngan Dao^ORCID,Tran-Anh Dat,Luong Manh,Tran Cong,Pham Cuong

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-023-05006-4.pdf

Reference39 articles.

1. Corrao WM, Braman SS, Irwin RS (1979) Chronic cough as the sole presenting manifestation of bronchial asthma. N Engl J Med 300(12):633–637

2. Smith J, Woodcock A (2006) Cough and its importance in copd. International journal of chronic obstructive pulmonary disease 1(3):305

3. Liao J, Liu D, Su G, Liu L (2021) Recognizing diseases with multivariate physiological signals by a deepcnn-lstm network. Appl Intell 1–13

4. Lella KK, Pja A (2022) Automatic diagnosis of covid-19 disease using deep convolutional neural network with multi-feature channel from respiratory sound data: cough, voice, and breath. Alex Eng J 61(2):1319–1334

5. Pham L, Phan H, Palaniappan R, Mertins A, McLoughlin I (2021) Cnn-moe based framework for classification of respiratory anomalies and lung disease detection. IEEE J Biomed Health Inform 25(8):2938–2947

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. FedFSLAR: A Federated Learning Framework for Few-shot Action Recognition;2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW);2024-01-01

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