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 |
Deep CNN for 3D Face Recognition
|
---|---|
Chapter number | 56 |
Book title |
Design Tools and Methods in Industrial Engineering
|
Published by |
Springer, Cham, September 2019
|
DOI | 10.1007/978-3-030-31154-4_56 |
Book ISBNs |
978-3-03-031153-7, 978-3-03-031154-4
|
Authors |
Elena Carlotta Olivetti, Jacopo Ferretti, Giansalvo Cirrincione, Francesca Nonis, Stefano Tornincasa, Federica Marcolin |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 13% |
Professor > Associate Professor | 2 | 13% |
Researcher | 2 | 13% |
Student > Bachelor | 1 | 7% |
Student > Master | 1 | 7% |
Other | 1 | 7% |
Unknown | 6 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 33% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 7% |
Neuroscience | 1 | 7% |
Chemistry | 1 | 7% |
Engineering | 1 | 7% |
Other | 0 | 0% |
Unknown | 6 | 40% |