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Mendeley readers
Chapter title |
Detection of Deepfakes Using Visual Artifacts and Neural Network Classifier
|
---|---|
Chapter number | 31 |
Book title |
Innovations in Electrical and Electronic Engineering
|
Published by |
Springer, Singapore, January 2021
|
DOI | 10.1007/978-981-15-4692-1_31 |
Book ISBNs |
978-9-81-154691-4, 978-9-81-154692-1
|
Authors |
M. A. Sahla Habeeba, A. Lijiya, Anu Mary Chacko, Sahla Habeeba, M. A., Lijiya, A., Chacko, Anu Mary |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 25 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 12% |
Student > Ph. D. Student | 3 | 12% |
Student > Bachelor | 3 | 12% |
Professor | 2 | 8% |
Student > Doctoral Student | 2 | 8% |
Other | 2 | 8% |
Unknown | 10 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 11 | 44% |
Chemical Engineering | 1 | 4% |
Arts and Humanities | 1 | 4% |
Mathematics | 1 | 4% |
Psychology | 1 | 4% |
Other | 0 | 0% |
Unknown | 10 | 40% |