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Mendeley readers
Chapter title |
Optimized Hierarchical Rule-Based Classification for Differentiating Shallow and Deep-Seated Landslide Using High-Resolution LiDAR Data
|
---|---|
Chapter number | 60 |
Book title |
GCEC 2017
|
Published by |
Springer, Singapore, July 2017
|
DOI | 10.1007/978-981-10-8016-6_60 |
Book ISBNs |
978-9-81-108015-9, 978-9-81-108016-6
|
Authors |
Mustafa Ridha Mezaal, Biswajeet Pradhan, H. Z. M. Shafri, H. Mojaddadi, Z. M. Yusoff, Mezaal, Mustafa Ridha, Pradhan, Biswajeet, Shafri, H. Z. M., Mojaddadi, H., Yusoff, Z. M. |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 14 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 21% |
Student > Doctoral Student | 2 | 14% |
Student > Bachelor | 1 | 7% |
Student > Master | 1 | 7% |
Professor | 1 | 7% |
Other | 2 | 14% |
Unknown | 4 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 4 | 29% |
Computer Science | 3 | 21% |
Earth and Planetary Sciences | 1 | 7% |
Unknown | 6 | 43% |