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Mendeley readers
Chapter title |
LSTM and 1-D Convolutional Neural Networks for Predictive Monitoring of the Anaerobic Digestion Process
|
---|---|
Chapter number | 65 |
Book title |
Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions
|
Published by |
Springer, Cham, September 2019
|
DOI | 10.1007/978-3-030-30493-5_65 |
Book ISBNs |
978-3-03-030492-8, 978-3-03-030493-5
|
Authors |
Mark McCormick, Alessandro E. P. Villa, McCormick, Mark, Villa, Alessandro E. P. |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 26 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 6 | 23% |
Student > Ph. D. Student | 5 | 19% |
Student > Master | 3 | 12% |
Student > Doctoral Student | 2 | 8% |
Professor | 1 | 4% |
Other | 2 | 8% |
Unknown | 7 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 5 | 19% |
Environmental Science | 3 | 12% |
Chemical Engineering | 2 | 8% |
Biochemistry, Genetics and Molecular Biology | 1 | 4% |
Agricultural and Biological Sciences | 1 | 4% |
Other | 4 | 15% |
Unknown | 10 | 38% |