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Mendeley readers
Chapter title |
Regression Methods for Detecting Anomalies in Flue Gas Desulphurization Installations in Coal-Fired Power Plants Based on Sensor Data
|
---|---|
Chapter number | 24 |
Book title |
Computational Science – ICCS 2020
|
Published by |
Springer, Cham, June 2020
|
DOI | 10.1007/978-3-030-50426-7_24 |
Book ISBNs |
978-3-03-050425-0, 978-3-03-050426-7
|
Authors |
Marek Moleda, Alina Momot, Dariusz Mrozek, Moleda, Marek, Momot, Alina, Mrozek, Dariusz |
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 % |
---|---|---|
Researcher | 3 | 20% |
Professor | 2 | 13% |
Student > Ph. D. Student | 2 | 13% |
Student > Master | 1 | 7% |
Lecturer > Senior Lecturer | 1 | 7% |
Other | 0 | 0% |
Unknown | 6 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 5 | 33% |
Computer Science | 4 | 27% |
Unknown | 6 | 40% |