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Mendeley readers
Chapter title |
SGD-Based Wiener Polynomial Approximation for Missing Data Recovery in Air Pollution Monitoring Dataset
|
---|---|
Chapter number | 64 |
Book title |
Advances in Computational Intelligence
|
Published by |
Springer, Cham, June 2019
|
DOI | 10.1007/978-3-030-20521-8_64 |
Book ISBNs |
978-3-03-020520-1, 978-3-03-020521-8
|
Authors |
Ivan Izonin, Michal Greguš ml., Roman Tkachenko, Mykola Logoyda, Oleksandra Mishchuk, Yurii Kynash, Izonin, Ivan, Greguš ml., Michal, Tkachenko, Roman, Logoyda, Mykola, Mishchuk, Oleksandra, Kynash, Yurii |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 10 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 30% |
Student > Ph. D. Student | 2 | 20% |
Student > Bachelor | 1 | 10% |
Lecturer | 1 | 10% |
Professor > Associate Professor | 1 | 10% |
Other | 0 | 0% |
Unknown | 2 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 40% |
Philosophy | 1 | 10% |
Neuroscience | 1 | 10% |
Engineering | 1 | 10% |
Design | 1 | 10% |
Other | 0 | 0% |
Unknown | 2 | 20% |