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Mendeley readers
Chapter title |
Machine Learning Techniques for IoT Intrusions Detection in Aerospace Cyber-Physical Systems
|
---|---|
Chapter number | 11 |
Book title |
Machine Learning and Data Mining in Aerospace Technology
|
Published by |
Springer, Cham, January 2020
|
DOI | 10.1007/978-3-030-20212-5_11 |
Book ISBNs |
978-3-03-020211-8, 978-3-03-020212-5
|
Authors |
Yassine Maleh, Maleh, Yassine |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 49 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 12% |
Student > Master | 6 | 12% |
Lecturer | 5 | 10% |
Student > Doctoral Student | 3 | 6% |
Researcher | 3 | 6% |
Other | 5 | 10% |
Unknown | 21 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 14 | 29% |
Engineering | 5 | 10% |
Business, Management and Accounting | 2 | 4% |
Linguistics | 1 | 2% |
Energy | 1 | 2% |
Other | 3 | 6% |
Unknown | 23 | 47% |