Understanding COVID-19: The Role of Computational Intelligence
Springer International Publishing
Chapter title |
COVID-19 Recommendation System of Chest X-Ray Images Using CNN Deep Learning Technique with Optimizers and Activation Functions
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Book title |
Understanding COVID-19: The Role of Computational Intelligence
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Published by |
Springer, Cham, July 2021
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DOI | 10.1007/978-3-030-74761-9_7 |
Book ISBNs |
978-3-03-074760-2, 978-3-03-074761-9
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Authors |
Niyati Sinha, Puhup Karjee, Riddhi Agrawal, Ankita Banerjee, Chittaranjan Pradhan, Sinha, Niyati, Karjee, Puhup, Agrawal, Riddhi, Banerjee, Ankita, Pradhan, Chittaranjan |
Country | Count | As % |
---|---|---|
India | 1 | 100% |
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Country | Count | As % |
---|---|---|
Unknown | 11 | 100% |
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% |