Please use this identifier to cite or link to this item:
http://www.idr.iitkgp.ac.in/xmlui/handle/123456789/10345
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Mazumdar, Jublee | - |
dc.date.accessioned | 2022-01-11T05:58:56Z | - |
dc.date.available | 2022-01-11T05:58:56Z | - |
dc.date.issued | 2018-11 | - |
dc.identifier.govdoc | NB16235 | - |
dc.identifier.uri | http://www.idr.iitkgp.ac.in/xmlui/handle/123456789/10345 | - |
dc.language.iso | en | en_US |
dc.publisher | IIT Kharagpur | en_US |
dc.subject | Vulnerability indices | en_US |
dc.subject | Artificial neural network | en_US |
dc.subject | Validation | en_US |
dc.subject | Principal component analysis | en_US |
dc.subject | Hotspot mapping | en_US |
dc.title | Methodology to Evaluate the Vulnerability of Regions from Natural Hazards Using Intelligent and Spatially Explicit Assessment Techniques | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | Methodology to Evaluate the Vulnerability of Regions from Natural Hazards Using Intelligent and Spatially Explicit Assessment Techniques |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
NB16235_Abstract.pdf | 70.26 kB | Adobe PDF | View/Open | |
NB16235_Thesis.pdf Restricted Access | 8.91 MB | Adobe PDF | View/Open Request a copy |
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