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X Demographics
Mendeley readers
Chapter title |
Hourly Air Quality Index (AQI) Forecasting Using Machine Learning Methods
|
---|---|
Chapter number | 12 |
Book title |
15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020)
|
Published by |
Springer, Cham, September 2020
|
DOI | 10.1007/978-3-030-57802-2_12 |
Book ISBNs |
978-3-03-057801-5, 978-3-03-057802-2
|
Authors |
Jose Antonio Moscoso-López, Daniel Urda, Javier González-Enrique, Juan Jesus Ruiz-Aguilar, Ignacio J. Turias, Moscoso-López, Jose Antonio, Urda, Daniel, González-Enrique, Javier, Ruiz-Aguilar, Juan Jesus, Turias, Ignacio J. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
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 % |
---|---|---|
Lecturer | 3 | 21% |
Student > Master | 2 | 14% |
Other | 1 | 7% |
Unspecified | 1 | 7% |
Student > Ph. D. Student | 1 | 7% |
Other | 1 | 7% |
Unknown | 5 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 21% |
Engineering | 2 | 14% |
Environmental Science | 1 | 7% |
Unspecified | 1 | 7% |
Unknown | 7 | 50% |