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Items where Author is "Ghorbanzadeh, O"
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Number of items: 10.
Article
Ghorbanzadeh, O, Blaschke, T, Aryal, J 
ORCID: 0000-0002-4875-2127 and Gholaminia, K 2018
, 'A new GIS-based technique using an adaptive neuro-fuzzy inference system for land subsidence susceptibility mapping'
, Journal of Spatial Science
, pp. 1-18
, doi: https://doi.org/10.1080/14498596.2018.1505564.
ORCID: 0000-0002-4875-2127 and Gholaminia, K 2018
, 'A new GIS-based technique using an adaptive neuro-fuzzy inference system for land subsidence susceptibility mapping'
, Journal of Spatial Science
, pp. 1-18
, doi: https://doi.org/10.1080/14498596.2018.1505564.
Ghorbanzadeh, O, Blaschke, T, Gholamnia, K and Aryal, J ORCID: 0000-0002-4875-2127 2019
, 'Forest fire susceptibility and risk mapping using social/infrastructural vulnerability and environmental variables'
, Fire, vol. 2, no. 3
, pp. 1-27
, doi: https://doi.org/10.3390/fire2030050.
ORCID: 0000-0002-4875-2127 2019
, 'Forest fire susceptibility and risk mapping using social/infrastructural vulnerability and environmental variables'
, Fire, vol. 2, no. 3
, pp. 1-27
, doi: https://doi.org/10.3390/fire2030050.
Ghorbanzadeh, O, Blaschke, T, Gholamnia, K, Meena, SR, Tiede, D and Aryal, J ORCID: 0000-0002-4875-2127 2019
, 'Evaluation of different machine learning methods and deep-learning convolutional neural networks for landslide detection'
, Remote Sensing, vol. 11, no. 2
, pp. 1-21
, doi: https://doi.org/10.3390/rs11020196.
ORCID: 0000-0002-4875-2127 2019
, 'Evaluation of different machine learning methods and deep-learning convolutional neural networks for landslide detection'
, Remote Sensing, vol. 11, no. 2
, pp. 1-21
, doi: https://doi.org/10.3390/rs11020196.
Ghorbanzadeh, O, Meena, SR, Blaschke, T and Aryal, J ORCID: 0000-0002-4875-2127 2019
, 'UAV-based slope failure detection using deep-learning convolutional neural networks'
, Remote Sensing, vol. 11, no. 17
, pp. 1-24
, doi: https://doi.org/10.3390/rs11172046.
ORCID: 0000-0002-4875-2127 2019
, 'UAV-based slope failure detection using deep-learning convolutional neural networks'
, Remote Sensing, vol. 11, no. 17
, pp. 1-24
, doi: https://doi.org/10.3390/rs11172046.
Ghorbanzadeh, O, Rostamzadeh, H, Blaschke, T, Gholaminia, K and Aryal, J ORCID: 0000-0002-4875-2127 2018
, '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
, pp. 1-21
, doi: https://doi.org/10.1007/s11069-018-3449-y.
ORCID: 0000-0002-4875-2127 2018
, '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
, pp. 1-21
, doi: https://doi.org/10.1007/s11069-018-3449-y.
Ghorbanzadeh, O, Rostamzadeh, H, Blaschke, T, Gholaminia, K and Aryal, J ORCID: 0000-0002-4875-2127 2018
, 'A new GIS-based technique using an adaptive neuro-fuzzy inference system for land subsidence susceptibility mapping'
, Journal of Spatial Science, vol. 94, no. 2
, pp. 1-18
, doi: https://doi.org/10.1080/14498596.2018.1505564.
ORCID: 0000-0002-4875-2127 2018
, 'A new GIS-based technique using an adaptive neuro-fuzzy inference system for land subsidence susceptibility mapping'
, Journal of Spatial Science, vol. 94, no. 2
, pp. 1-18
, doi: https://doi.org/10.1080/14498596.2018.1505564.
Ghorbanzadeh, O, Valizadeh Kamran, K, Blaschke, T, Aryal, J ORCID: 0000-0002-4875-2127, Naboureh, A, Einali, J and Bian, J 2019
, 'Spatial prediction of wildfire susceptibility using field survey GPS data and machine learning approaches'
, Fire, vol. 2, no. 3
, pp. 1-23
, doi: https://doi.org/10.3390/fire2030043.
ORCID: 0000-0002-4875-2127, Naboureh, A, Einali, J and Bian, J 2019
, 'Spatial prediction of wildfire susceptibility using field survey GPS data and machine learning approaches'
, Fire, vol. 2, no. 3
, pp. 1-23
, doi: https://doi.org/10.3390/fire2030043.
Ghorbanzadeh, O, Valizadeh Kamran, K, Blaschke, T, Aryal, J ORCID: 0000-0002-4875-2127, Naboureh, A, Einali, J and Bian, J 2019
, 'Spatial prediction of wildfire susceptibility using field survey GPS data and machine learning approaches'
, Fire, vol. 2, no. 3
, pp. 1-23
, doi: https://doi.org/10.3390/fire2030043.
ORCID: 0000-0002-4875-2127, Naboureh, A, Einali, J and Bian, J 2019
, 'Spatial prediction of wildfire susceptibility using field survey GPS data and machine learning approaches'
, Fire, vol. 2, no. 3
, pp. 1-23
, doi: https://doi.org/10.3390/fire2030043.
Piralilou, ST, Shahabi, H, Jarihani, B, Ghorbanzadeh, O, Blaschke, T, Gholamnia, K, Meena, SR and Aryal, J ORCID: 0000-0002-4875-2127 2019
, 'Landslide detection using multi-scale image segmentation and different machine learning models in the higher Himalayas'
, Remote Sensing, vol. 11, no. 21
, pp. 1-26
, doi: https://doi.org/10.3390/rs11212575.
ORCID: 0000-0002-4875-2127 2019
, 'Landslide detection using multi-scale image segmentation and different machine learning models in the higher Himalayas'
, Remote Sensing, vol. 11, no. 21
, pp. 1-26
, doi: https://doi.org/10.3390/rs11212575.
Piralilou, ST, Shahabi, H, Jarihani, B, Ghorbanzadeh, O, Blaschke, T, Gholamnia, K, Meena, SR and Aryal, J ORCID: 0000-0002-4875-2127 2019
, 'Landslide detection using multi-scale image segmentation and different machine learning models in the higher Himalayas'
, Remote Sensing, vol. 11, no. 21
, pp. 1-26
, doi: https://doi.org/10.3390/rs11212575.
ORCID: 0000-0002-4875-2127 2019
, 'Landslide detection using multi-scale image segmentation and different machine learning models in the higher Himalayas'
, Remote Sensing, vol. 11, no. 21
, pp. 1-26
, doi: https://doi.org/10.3390/rs11212575.