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Mendeley readers
Chapter title |
Explainable Deep Learning for Fault Prognostics in Complex Systems: A Particle Accelerator Use-Case
|
---|---|
Chapter number | 8 |
Book title |
Machine Learning and Knowledge Extraction
|
Published by |
Springer, Cham, August 2020
|
DOI | 10.1007/978-3-030-57321-8_8 |
Book ISBNs |
978-3-03-057320-1, 978-3-03-057321-8
|
Authors |
Lukas Felsberger, Andrea Apollonio, Thomas Cartier-Michaud, Andreas Müller, Benjamin Todd, Dieter Kranzlmüller |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 11 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 27% |
Student > Doctoral Student | 2 | 18% |
Student > Ph. D. Student | 1 | 9% |
Lecturer | 1 | 9% |
Researcher | 1 | 9% |
Other | 1 | 9% |
Unknown | 2 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 36% |
Social Sciences | 2 | 18% |
Business, Management and Accounting | 1 | 9% |
Economics, Econometrics and Finance | 1 | 9% |
Engineering | 1 | 9% |
Other | 0 | 0% |
Unknown | 2 | 18% |