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Mendeley readers
Chapter title |
Visualization and Prediction of Trends of Covid-19 Pandemic During Early Outbreak in India Using DNN and SVR
|
---|---|
Chapter number | 4 |
Book title |
Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach
|
Published by |
Springer, Cham, October 2020
|
DOI | 10.1007/978-3-030-55258-9_4 |
Book ISBNs |
978-3-03-055257-2, 978-3-03-055258-9
|
Authors |
Mahua Nandy Pal, Shuvankar Roy, Supriya Kundu, Sasmita Subhadarsinee Choudhury, Pal, Mahua Nandy, Roy, Shuvankar, Kundu, Supriya, Choudhury, Sasmita Subhadarsinee |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 2 | 17% |
Student > Ph. D. Student | 1 | 8% |
Student > Postgraduate | 1 | 8% |
Student > Doctoral Student | 1 | 8% |
Professor > Associate Professor | 1 | 8% |
Other | 0 | 0% |
Unknown | 6 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 25% |
Mathematics | 1 | 8% |
Business, Management and Accounting | 1 | 8% |
Nursing and Health Professions | 1 | 8% |
Unknown | 6 | 50% |