Firefly Optimization with Bidirectional Gated Recurrent Unit for COVID-19 Diagnosis on Chest Radiographs-Reference-Cited by-同舟云学术

Firefly Optimization with Bidirectional Gated Recurrent Unit for COVID-19 Diagnosis on Chest Radiographs

Published:2022-12-01 Issue: Volume: Page:
ISSN:
Container-title:2022 6th International Conference on Electronics, Communication and Aerospace Technology
language:
Short-container-title:

Author:

Amalraj J. Jegathesh¹,Suchitra B.²,Prajapati Harshad Naranbhai³,Shrimali Manish⁴,Gnanakumaran R.⁵,Girdharwal Nitin⁶

Affiliation:

1. Government Arts and Science College,Department of Computer Science,Cuddalore,Tamilnadu,India

2. ICT & Cognitive System, Sri Krishna Arts and Science College,Coimbatore,Tamilnadu,India

3. I/C-Principal, College of Computer and Management Studies,Mahesana,Gujarat,India

4. Janardan Rai Nagar Rajasthan Vidyapeeth (Deemed to be University),Department of Computer Science and IT,Udaipur,Rajasthan,India

5. Annai Vailankanni Arts and Science College,PG & Research Dept. Of Computer Science,Thanjavur,Tamilnadu,India

6. Medi-caps University,Head - Faculty of Management,Indore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10009019/10009048/10009192.pdf?arnumber=10009192

Reference20 articles.

1. Developing a Machine Learning Model for Detecting Job Burnout During the COVID-19 Pandemic Among Front-line Workers in Kuwait;almayyan;International Journal of Computer Science and Information Security (IJCSIS),2021

2. Advanced Meta-Heuristics, Convolutional Neural Networks, and Feature Selectors for Efficient COVID-19 X-Ray Chest Image Classification

3. COVID-19 Detection Using Deep Convolutional Neural Networks and Binary Differential Algorithm-Based Feature Selection from X-Ray Images

4. AFCM-LSMA: New intelligent model based on Lévy slime mould algorithm and adaptive fuzzy C-means for identification of COVID-19 infection from chest X-ray images

5. Optimal Diagnosis of COVID-19 Based on Convolutional Neural Network and Red Fox Optimization Algorithm