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Mendeley readers
Chapter title |
Prediction of Cardiovascular Disease Through Cutting-Edge Deep Learning Technologies: An Empirical Study Based on TENSORFLOW, PYTORCH and KERAS
|
---|---|
Chapter number | 18 |
Book title |
International Conference on Innovative Computing and Communications
|
Published by |
Springer, Singapore, January 2021
|
DOI | 10.1007/978-981-15-5113-0_18 |
Book ISBNs |
978-9-81-155112-3, 978-9-81-155113-0
|
Authors |
Mudasir Ashraf, Syed Mudasir Ahmad, Nazir Ahmad Ganai, Riaz Ahmad Shah, Majid Zaman, Sameer Ahmad Khan, Aftab Aalam Shah, Ashraf, Mudasir, Ahmad, Syed Mudasir, Ganai, Nazir Ahmad, Shah, Riaz Ahmad, Zaman, Majid, Khan, Sameer Ahmad, Shah, Aftab Aalam |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 29 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Lecturer | 3 | 10% |
Student > Bachelor | 2 | 7% |
Student > Ph. D. Student | 2 | 7% |
Student > Master | 2 | 7% |
Professor > Associate Professor | 2 | 7% |
Other | 1 | 3% |
Unknown | 17 | 59% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 24% |
Nursing and Health Professions | 2 | 7% |
Engineering | 1 | 3% |
Unknown | 19 | 66% |