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Mendeley readers
Chapter title |
FLSTM: Feature Pattern-Based LSTM for Imbalanced Big Data Analysis
|
---|---|
Chapter number | 8 |
Book title |
Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health
|
Published by |
Springer, Singapore, December 2019
|
DOI | 10.1007/978-981-15-1922-2_8 |
Book ISBNs |
978-9-81-151921-5, 978-9-81-151922-2
|
Authors |
Liang Xu, Xingjie Zeng, Weishan Zhang, Jiangru Yuan, Pengcheng Ren, Ruicong Zhang, Wuwu Guo, Jiehan Zhou, Xu, Liang, Zeng, Xingjie, Zhang, Weishan, Yuan, Jiangru, Ren, Pengcheng, Zhang, Ruicong, Guo, Wuwu, Zhou, Jiehan |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Doctoral Student | 2 | 67% |
Student > Ph. D. Student | 1 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 67% |
Economics, Econometrics and Finance | 1 | 33% |