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Ghorbanzadeh, O and Rostamzadeh, H and Blaschke, T and Gholaminia, K and Aryal, J, “A new GIS-based data mining technique using an adaptive neuro-fuzzy inference system (ANFIS) and k-fold cross-validation approach for land subsidence susceptibility mapping”, Natural Hazards, 94 (2) pp. 497-517. ISSN 0921-030X (2018) [Refereed Article] | |
Data Type | Value |
---|---|
Type of Research | Applied Research |
Research Division | Engineering |
Research Group | Geomatic engineering |
Research Field | Photogrammetry and remote sensing |
Research Objective Division | Environmental Management |
Research Objective Group | Other environmental management |
Research Objective Field | Other environmental management not elsewhere classified |
Visit Item on eCite | http://ecite.utas.edu.au/128075 |
Digital Object Identifier | doi:10.1007/s11069-018-3449-y |
Scopus Source URL | View the full record on Scopus |
Scopus Citing URL | View the list of citing articles on Scopus |
Web of Science® Source URL | View the full record on Web of Science® |
Web of Science® Citing URL | View the list of citing articles on Web of Science® |
Web of Science® Related URL | View the list of related articles on Web of Science® |
Number of Times Cited | 77 |
Number of Downloads | 123 |