Multiclass Categorisation of Respiratory Sound Signals Using Neural Network
Author:
Affiliation:
1. Indian Institute of Technology Patna,Dept. of Computer Science and Engineering,Bihar,India,801106
2. Indian Institute of Technology Patna,Dept. of Electrical Engineering,Bihar,India,801106
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9948537/9948538/09948675.pdf?arnumber=9948675
Reference27 articles.
1. CNN based Categorization of respiratory sounds using spectral descriptors
2. Contrastive Embeddind Learning Method for Respiratory Sound Classification
3. Cough Sound Classification Based on Similarity Metrics
4. Deep Neural Network for Respiratory Sound Classification in Wearable Devices Enabled by Patient Specific Model Tuning
5. Deep Recurrent Neural Networks with Attention Mechanisms for Respiratory Anomaly Classification
Cited by 9 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. 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
2. OFGST-Swin: Swin Transformer Utilizing Overlap Fusion-Based Generalized S-Transform for Respiratory Cycle Classification;IEEE Transactions on Instrumentation and Measurement;2024
3. Enhancing Lung Acoustic Signals Classification With Eigenvectors-Based and Traditional Augmentation Methods;IEEE Access;2024
4. Supervised Contrastive Pretrained ResNet with MixUp to Enhance Respiratory Sound Classification on Imbalanced and Limited Dataset;2023 IEEE Biomedical Circuits and Systems Conference (BioCAS);2023-10-19
5. Grand Challenge on Respiratory Sound Classification for SPRSound Dataset;2023 IEEE Biomedical Circuits and Systems Conference (BioCAS);2023-10-19
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3