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Mendeley readers
Title |
Enhanced fault diagnosis of wind energy conversion systems using ensemble learning based on sine cosine algorithm
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Published in |
Journal of Engineering and Applied Science, June 2023
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DOI | 10.1186/s44147-023-00227-3 |
Authors |
Khadija Attouri, Khaled Dhibi, Majdi Mansouri, Mansour Hajji, Kais Bouzrara, Hazem Nounou |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 14 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 1 | 7% |
Other | 1 | 7% |
Lecturer > Senior Lecturer | 1 | 7% |
Student > Master | 1 | 7% |
Unknown | 10 | 71% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 3 | 21% |
Medicine and Dentistry | 1 | 7% |
Unspecified | 1 | 7% |
Unknown | 9 | 64% |