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Mendeley readers
Chapter title |
Interpretable Deep Learning with Hybrid Autoencoders to Predict Electric Energy Consumption
|
---|---|
Chapter number | 13 |
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_13 |
Book ISBNs |
978-3-03-057801-5, 978-3-03-057802-2
|
Authors |
Jin-Young Kim, Sung-Bae Cho, Kim, Jin-Young, Cho, Sung-Bae |
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 % |
---|---|---|
Student > Ph. D. Student | 2 | 18% |
Researcher | 2 | 18% |
Student > Bachelor | 1 | 9% |
Unspecified | 1 | 9% |
Student > Doctoral Student | 1 | 9% |
Other | 1 | 9% |
Unknown | 3 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 3 | 27% |
Computer Science | 2 | 18% |
Unspecified | 1 | 9% |
Unknown | 5 | 45% |