You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Data Analysis for Predictive Maintenance Using Time Series and Deep Learning Models—A Case Study in a Pulp Paper Industry
|
---|---|
Chapter number | 2 |
Book title |
Proceedings of IncoME-VI and TEPEN 2021
|
Published by |
Springer, Cham, January 2023
|
DOI | 10.1007/978-3-030-99075-6_2 |
Book ISBNs |
978-3-03-099074-9, 978-3-03-099075-6
|
Authors |
Mateus, Balduíno, Mendes, Mateus, Farinha, José Torres, Martins, Alexandre Batista, Cardoso, António Marques |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 20 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 10% |
Researcher | 2 | 10% |
Student > Master | 2 | 10% |
Other | 1 | 5% |
Lecturer | 1 | 5% |
Other | 4 | 20% |
Unknown | 8 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 6 | 30% |
Unspecified | 1 | 5% |
Energy | 1 | 5% |
Decision Sciences | 1 | 5% |
Unknown | 11 | 55% |