Exhaled breath signal analysis for diabetes detection: an optimized deep learning approach-Reference-Cited by-同舟云学术

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Exhaled breath signal analysis for diabetes detection: an optimized deep learning approach

Published:2023-12-07 Issue: Volume: Page:1-16
ISSN:1025-5842
Container-title:Computer Methods in Biomechanics and Biomedical Engineering
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering

Author:

Gade Anita¹,Vijaya Baskar V.²,Panneerselvam John³

Affiliation:

1. Department of Electronics Engineering, Sathyabama Institute of Science and Technology, Chennai, India

2. Department of Electronics and Communication Engineering, Sathyabama Institute of Science and Technology, Chennai, India

3. School of Computing and Mathematical Sciences, University of Leicester, Leicester, United Kingdom

Publisher

Informa UK Limited

Subject

Computer Science Applications,Human-Computer Interaction,Biomedical Engineering,General Medicine,Bioengineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/10255842.2023.2289344

Reference60 articles.

1. Texton Features and Deep Belief Network for Leaf Disease Classification

2. Analysis and Prediction of Gold Price using CNN and Bi-GRU based Neural Network Model

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4. A comparative study between DWT-ANFIS and DWT-SVM in ECG classification

5. Rolling Element Fault Diagnosis Based on VMD and Sensitivity MCKD

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