A Comparative Study of Prediction of Pneumonia and COVID-19 Using Deep Neural Networks-Reference-Cited by-同舟云学术

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A Comparative Study of Prediction of Pneumonia and COVID-19 Using Deep Neural Networks

Published:2023-08-09 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Electronic and Electrical Engineering and Intelligent System (ICE3IS)
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Author:

Haque Md Sabbirul¹,Taluckder Md Siam²,Bin Shawkat Siam³,Shahriyar Md Ahnaf⁴,Sayed Md Abu⁵,Modak Chinmoy⁶

Affiliation:

1. IEEE Professional Community IEEE

2. Lamar University,Phillip M. Drayer Department of Electrical Engineering

3. American International University,Computer Science Department,Bangladesh

4. College of Technology and Engineering, Westcliff University,Irvine,CA

5. New Jersey City University Jersey City,Department of Professional Security Studies,New Jersey

6. Florida Polytechnic University,Department of Computer Science,Lakeland,Florida

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10335169/10335094/10335362.pdf?arnumber=10335362

Reference17 articles.

1. A comparative study of Detecting Covid 19 by Using Chest X-ray Images– A Deep Learning Approach

2. An Empirical Study to Predict Myocardial Infarction Using K-Means and Hierarchical Clustering

3. A Comparative Study of Machine Learning Algorithms for Detecting Breast Cancer

4. A Comparative Study of Machine Learning classifiers to analyze the precision of Myocardial Infarction prediction

5. Detection of pneumonia infection in lungs from chest X-ray images using deep convolutional neural network and content-based image retrieval techniques

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