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Mendeley readers
Chapter title |
The Optimization of Cemented Hydraulic Backfill Mixture Design Parameters for Different Strength Conditions Using Artificial Intelligence Algorithms
|
---|---|
Chapter number | 28 |
Book title |
Proceedings of the 28th International Symposium on Mine Planning and Equipment Selection - MPES 2019
|
Published by |
Springer, Cham, December 2019
|
DOI | 10.1007/978-3-030-33954-8_28 |
Book ISBNs |
978-3-03-033953-1, 978-3-03-033954-8
|
Authors |
Ehsan Sadrossadat, Hakan Basarir, Ali Karrech, Richard Durham, Andy Fourie, Han Bin, Sadrossadat, Ehsan, Basarir, Hakan, Karrech, Ali, Durham, Richard, Fourie, Andy, Bin, Han |
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 % |
---|---|---|
Student > Doctoral Student | 2 | 33% |
Professor > Associate Professor | 1 | 17% |
Lecturer > Senior Lecturer | 1 | 17% |
Unknown | 2 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 1 | 17% |
Earth and Planetary Sciences | 1 | 17% |
Engineering | 1 | 17% |
Unknown | 3 | 50% |