COVID-19 Detection with a Novel Multi-Type Deep Fusion Method using Breathing and Coughing Information
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9629355/9629471/09630050.pdf?arnumber=9630050
Cited by 5 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. COVID-19 Detection from Speech in Noisy Conditions;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04
2. Coronavirus diagnosis using cough sounds: Artificial intelligence approaches;Frontiers in Artificial Intelligence;2023-02-15
3. Identification of Elderly Patients with Lower Respiratory Tract Infection by Artificial Intelligence Analysis of Cough Pattern Sounds;Discovery Medicine;2023
4. Multi-Type Outer Product-Based Fusion of Respiratory Sounds for Detecting COVID-19;Interspeech 2022;2022-09-18
5. Triplet Loss-Based Models for COVID-19 Detection from Vocal Sounds;2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2022-07-11
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