You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Tensor-Based Anomaly Detection for Satellite Telemetry Data
|
---|---|
Chapter number | 1 |
Book title |
Machine Learning and Data Mining in Aerospace Technology
|
Published by |
Springer, Cham, January 2020
|
DOI | 10.1007/978-3-030-20212-5_1 |
Book ISBNs |
978-3-03-020211-8, 978-3-03-020212-5
|
Authors |
Alaa H. Ramadan, Aboul Ella Hassanien, Hesham A. Hefny, Lamiaa F. Ibrahim, Ramadan, Alaa H., Hassanien, Aboul Ella, Hefny, Hesham A., Ibrahim, Lamiaa F. |
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 % |
---|---|---|
Professor | 3 | 43% |
Lecturer | 2 | 29% |
Researcher | 1 | 14% |
Unknown | 1 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 71% |
Unknown | 2 | 29% |