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Mendeley readers
Chapter title |
Intelligent Gender Recognition System for Classification of Gender in Malaysian Demographic
|
---|---|
Chapter number | 24 |
Book title |
InECCE2019
|
Published by |
Springer, Singapore, January 2020
|
DOI | 10.1007/978-981-15-2317-5_24 |
Book ISBNs |
978-9-81-152316-8, 978-9-81-152317-5
|
Authors |
Yap Su Chi, Syafiq Fauzi Kamarulzaman, Chi, Yap Su, Kamarulzaman, Syafiq Fauzi |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Doctoral Student | 1 | 33% |
Student > Bachelor | 1 | 33% |
Unknown | 1 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 1 | 33% |
Engineering | 1 | 33% |
Unknown | 1 | 33% |