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Mendeley readers
Chapter title |
SDN-Enabled IoT Anomaly Detection Using Ensemble Learning
|
---|---|
Chapter number | 23 |
Book title |
Artificial Intelligence Applications and Innovations
|
Published by |
Springer, Cham, June 2020
|
DOI | 10.1007/978-3-030-49186-4_23 |
Book ISBNs |
978-3-03-049185-7, 978-3-03-049186-4
|
Authors |
Enkhtur Tsogbaatar, Monowar H. Bhuyan, Yuzo Taenaka, Doudou Fall, Khishigjargal Gonchigsumlaa, Erik Elmroth, Youki Kadobayashi, Tsogbaatar, Enkhtur, Bhuyan, Monowar H., Taenaka, Yuzo, Fall, Doudou, Gonchigsumlaa, Khishigjargal, Elmroth, Erik, Kadobayashi, Youki |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 30 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 5 | 17% |
Researcher | 3 | 10% |
Student > Ph. D. Student | 3 | 10% |
Professor | 2 | 7% |
Student > Doctoral Student | 1 | 3% |
Other | 4 | 13% |
Unknown | 12 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 10 | 33% |
Engineering | 5 | 17% |
Social Sciences | 1 | 3% |
Psychology | 1 | 3% |
Unknown | 13 | 43% |