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Mendeley readers
Chapter title |
Hybrid Machine Learning Models of Classifying Residential Requests for Smart Dispatching
|
---|---|
Chapter number | 26 |
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_26 |
Book ISBNs |
978-9-81-151921-5, 978-9-81-151922-2
|
Authors |
Tianen Chen, Jincheng Sun, Hongyi Lin, Yan Liu, Chen, Tianen, Sun, Jincheng, Lin, Hongyi, Liu, Yan |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 11 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 1 | 9% |
Lecturer | 1 | 9% |
Student > Doctoral Student | 1 | 9% |
Professor | 1 | 9% |
Student > Ph. D. Student | 1 | 9% |
Other | 1 | 9% |
Unknown | 5 | 45% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 3 | 27% |
Unspecified | 1 | 9% |
Neuroscience | 1 | 9% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 9% |
Unknown | 5 | 45% |