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Mendeley readers
Chapter title |
A Machine Learning Approach to Determine Abundance of Inclusions in Stainless Steel
|
---|---|
Chapter number | 43 |
Book title |
Hybrid Artificial Intelligent Systems
|
Published by |
Springer, Cham, September 2019
|
DOI | 10.1007/978-3-030-29859-3_43 |
Book ISBNs |
978-3-03-029858-6, 978-3-03-029859-3
|
Authors |
Héctor Mesa, Daniel Urda, Juan J. Ruiz-Aguilar, José A. Moscoso-López, Juan Almagro, Patricia Acosta, Ignacio J. Turias, Mesa, Héctor, Urda, Daniel, Ruiz-Aguilar, Juan J., Moscoso-López, José A., Almagro, Juan, Acosta, Patricia, Turias, Ignacio J. |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 6 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor > Associate Professor | 2 | 33% |
Student > Doctoral Student | 2 | 33% |
Unknown | 2 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 33% |
Agricultural and Biological Sciences | 1 | 17% |
Psychology | 1 | 17% |
Unknown | 2 | 33% |