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Understanding COVID-19: The Role of Computational Intelligence

Overview of attention for book
Understanding COVID-19: The Role of Computational Intelligence
Springer International Publishing
Attention for Chapter: COVID-19 Recommendation System of Chest X-Ray Images Using CNN Deep Learning Technique with Optimizers and Activation Functions
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1 X user

Citations

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11 Mendeley
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Chapter title
COVID-19 Recommendation System of Chest X-Ray Images Using CNN Deep Learning Technique with Optimizers and Activation Functions
Book title
Understanding COVID-19: The Role of Computational Intelligence
Published by
Springer, Cham, July 2021
DOI 10.1007/978-3-030-74761-9_7
Book ISBNs
978-3-03-074760-2, 978-3-03-074761-9
Authors

Niyati Sinha, Puhup Karjee, Riddhi Agrawal, Ankita Banerjee, Chittaranjan Pradhan, Sinha, Niyati, Karjee, Puhup, Agrawal, Riddhi, Banerjee, Ankita, Pradhan, Chittaranjan

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 18%
Researcher 2 18%
Lecturer 1 9%
Lecturer > Senior Lecturer 1 9%
Student > Master 1 9%
Other 1 9%
Unknown 3 27%
Readers by discipline Count As %
Engineering 3 27%
Computer Science 2 18%
Business, Management and Accounting 1 9%
Social Sciences 1 9%
Environmental Science 1 9%
Other 0 0%
Unknown 3 27%