RDLINet: A Novel Lightweight Inception Network for Respiratory Disease Classification Using Lung Sounds

Author:

Roy Arka1ORCID,Satija Udit1ORCID

Affiliation:

1. Department of Electrical Engineering, Indian Institute of Technology Patna, Patna, Bihar, India

Funder

Ministry of Education (MoE), Government of India, through the Prime Minister Research Fellowship (PMRF) Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Cited by 10 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. ILDNet: A Novel Deep Learning Framework for Interstitial Lung Disease Identification Using Respiratory Sounds;2024 International Conference on Signal Processing and Communications (SPCOM);2024-07-01

2. LoRaSONN: A Novel Self-Operational Neural Network Learning Framework for RF-Fingerprint Identification of LoRa Devices;2024 IEEE Wireless Communications and Networking Conference (WCNC);2024-04-21

3. High-sensitive state perception method for inverter-fed machine turn insulation based on FrFT-Mel;Global Energy Interconnection;2024-04

4. An Enhanced Deep Learning Approach for Disease Classification from Respiratory Sound;2024 2nd International Conference on Device Intelligence, Computing and Communication Technologies (DICCT);2024-03-15

5. A deep CNN-based acoustic model for the identification of lung diseases utilizing extracted MFCC features from respiratory sounds;Multimedia Tools and Applications;2024-03-12

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