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Mendeley readers
Chapter title |
Convolutional Neural Networks for Steel Surface Defect Detection from Photometric Stereo Images
|
---|---|
Chapter number | 64 |
Book title |
Advances in Visual Computing
|
Published by |
Springer, Cham, December 2014
|
DOI | 10.1007/978-3-319-14249-4_64 |
Book ISBNs |
978-3-31-914248-7, 978-3-31-914249-4
|
Authors |
D. Soukup, R. Huber-Mörk |
Mendeley readers
The data shown below were compiled from readership statistics for 173 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | <1% |
Spain | 1 | <1% |
Unknown | 171 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 35 | 20% |
Student > Master | 20 | 12% |
Student > Bachelor | 16 | 9% |
Researcher | 14 | 8% |
Student > Doctoral Student | 6 | 3% |
Other | 23 | 13% |
Unknown | 59 | 34% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 56 | 32% |
Computer Science | 41 | 24% |
Mathematics | 2 | 1% |
Agricultural and Biological Sciences | 2 | 1% |
Unspecified | 1 | <1% |
Other | 6 | 3% |
Unknown | 65 | 38% |