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Mendeley readers
Chapter title |
Semi-Supervised Outlier Detection and Deep Feature Extraction for Detecting Cyber-Attacks in Smart Grids Using PMU Data
|
---|---|
Chapter number | 67 |
Book title |
17th International Conference on Information Technology–New Generations (ITNG 2020)
|
Published by |
Springer, Cham, January 2020
|
DOI | 10.1007/978-3-030-43020-7_67 |
Book ISBNs |
978-3-03-043019-1, 978-3-03-043020-7
|
Authors |
Ruobin Qi, Craig Rasband, Jun Zheng, Raul Longoria, Qi, Ruobin, Rasband, Craig, Zheng, Jun, Longoria, Raul |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 8 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 1 | 13% |
Professor | 1 | 13% |
Researcher | 1 | 13% |
Student > Postgraduate | 1 | 13% |
Unknown | 4 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 25% |
Unspecified | 1 | 13% |
Energy | 1 | 13% |
Unknown | 4 | 50% |