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Mendeley readers
Chapter title |
Using Long-Short-Term Memory Based Convolutional Neural Networks for Network Intrusion Detection
|
---|---|
Chapter number | 9 |
Book title |
Wireless Internet
|
Published by |
Springer, Cham, October 2018
|
DOI | 10.1007/978-3-030-06158-6_9 |
Book ISBNs |
978-3-03-006157-9, 978-3-03-006158-6
|
Authors |
Chia-Ming Hsu, He-Yen Hsieh, Setya Widyawan Prakosa, Muhammad Zulfan Azhari, Jenq-Shiou Leu |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 46 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 9 | 20% |
Student > Ph. D. Student | 5 | 11% |
Researcher | 2 | 4% |
Professor | 2 | 4% |
Student > Postgraduate | 2 | 4% |
Other | 7 | 15% |
Unknown | 19 | 41% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 17 | 37% |
Engineering | 5 | 11% |
Veterinary Science and Veterinary Medicine | 1 | 2% |
Medicine and Dentistry | 1 | 2% |
Economics, Econometrics and Finance | 1 | 2% |
Other | 0 | 0% |
Unknown | 21 | 46% |