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Approaches for delineating landslide hazard areas using different training sites in an advanced artificial neural network model

Overview of attention for article published in Geo-Spatial Information Science, January 2010
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Title
Approaches for delineating landslide hazard areas using different training sites in an advanced artificial neural network model
Published in
Geo-Spatial Information Science, January 2010
DOI 10.1007/s11806-010-0236-7
Authors

Biswajeet Pradhan, Ahmed Youssef, Renuganth Varathrajoo

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
Malaysia 1 2%
India 1 2%
Unknown 60 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 25%
Student > Master 9 14%
Student > Bachelor 7 11%
Student > Doctoral Student 5 8%
Professor > Associate Professor 4 6%
Other 11 17%
Unknown 11 17%
Readers by discipline Count As %
Earth and Planetary Sciences 20 32%
Engineering 12 19%
Environmental Science 6 10%
Computer Science 4 6%
Agricultural and Biological Sciences 3 5%
Other 4 6%
Unknown 14 22%