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Mendeley readers
Chapter title |
On the Estimation of Pollen Density on Non-target Lepidoptera Food Plant Leaves in Bt-Maize Exposure Models: Open Problems and Possible Neural Network-Based Solutions
|
---|---|
Chapter number | 47 |
Book title |
Artificial Neural Networks and Machine Learning – ICANN 2017
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Published by |
Springer, Cham, September 2017
|
DOI | 10.1007/978-3-319-68600-4_47 |
Book ISBNs |
978-3-31-968599-1, 978-3-31-968600-4
|
Authors |
Francesco Camastra, Angelo Ciaramella, Antonino Staiano |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 7 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 1 | 14% |
Professor > Associate Professor | 1 | 14% |
Researcher | 1 | 14% |
Lecturer | 1 | 14% |
Unknown | 3 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 29% |
Mathematics | 1 | 14% |
Earth and Planetary Sciences | 1 | 14% |
Engineering | 1 | 14% |
Unknown | 2 | 29% |