An optimized deep learning architecture for the diagnosis of COVID-19 disease based on gravitational search optimization

Published 2020 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
An optimized deep learning architecture for the diagnosis of COVID-19 disease based on gravitational search optimization
Authors
Keywords
SARS-CoV-2, Deep learning, Convolutional neural networks, Transfer learning, Gravitational search algorithm, Hyperparameters optimization
Journal
APPLIED SOFT COMPUTING
Volume -, Issue -, Pages 106742
Publisher
Elsevier BV
Online
2020-09-22
DOI
10.1016/j.asoc.2020.106742

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now
Webinars Posters Questions Hubs Funding Journals Articles Connect Collections Reviewers About Us FAQs Mobile App Privacy Policy Terms of Use
© Peeref 2019-2024. All rights reserved.