You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Cardiotocogram Data Classification Using Random Forest Based Machine Learning Algorithm
|
---|---|
Chapter number | 25 |
Book title |
Proceedings of the 11th National Technical Seminar on Unmanned System Technology 2019
|
Published by |
Springer, Singapore, January 2021
|
DOI | 10.1007/978-981-15-5281-6_25 |
Book ISBNs |
978-9-81-155280-9, 978-9-81-155281-6
|
Authors |
M. M. Imran Molla, Julakha Jahan Jui, Bifta Sama Bari, Mamunur Rashid, Md Jahid Hasan, Imran Molla, M. M., Jui, Julakha Jahan, Bari, Bifta Sama, Rashid, Mamunur, Hasan, Md Jahid |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 28 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 7 | 25% |
Student > Master | 3 | 11% |
Student > Ph. D. Student | 2 | 7% |
Lecturer | 1 | 4% |
Unspecified | 1 | 4% |
Other | 2 | 7% |
Unknown | 12 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 8 | 29% |
Computer Science | 2 | 7% |
Medicine and Dentistry | 2 | 7% |
Social Sciences | 1 | 4% |
Unspecified | 1 | 4% |
Other | 2 | 7% |
Unknown | 12 | 43% |