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Mendeley readers
Chapter title |
Learning Deep and Shallow Features for Human Activity Recognition
|
---|---|
Chapter number | 40 |
Book title |
Knowledge Science, Engineering and Management
|
Published by |
Springer, Cham, August 2017
|
DOI | 10.1007/978-3-319-63558-3_40 |
Book ISBNs |
978-3-31-963557-6, 978-3-31-963558-3
|
Authors |
Sadiq Sani, Stewart Massie, Nirmalie Wiratunga, Kay Cooper |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 38 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 18% |
Professor > Associate Professor | 4 | 11% |
Other | 3 | 8% |
Student > Doctoral Student | 3 | 8% |
Student > Master | 3 | 8% |
Other | 4 | 11% |
Unknown | 14 | 37% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 9 | 24% |
Engineering | 8 | 21% |
Medicine and Dentistry | 2 | 5% |
Energy | 1 | 3% |
Nursing and Health Professions | 1 | 3% |
Other | 2 | 5% |
Unknown | 15 | 39% |