Open Access Repository

Items where Author is "Aryal, J"

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: Item Type | No Grouping
Number of items: 12.

Article

Feizizadeh, B, Roodposhti, MS, Blaschke, T and Aryal, J ORCID: 0000-0002-4875-2127 2017 , 'Comparing GIS-based support vector machine kernel functions for landslide susceptibility mapping' , Arabian Journal of Geosciences, vol. 10, no. 5 , pp. 1-13 , doi: 10.1007/s12517-017-2918-z.

Garg, S ORCID: 0000-0003-3510-2464, Aryal, J ORCID: 0000-0002-4875-2127, Wang, H, Shah, T, Kecskemeti, G and Ranjan, R 2018 , 'Cloud computing based bushfire prediction for cyber-physical emergency applications' , Future Generation Computer Systems, vol. 79 , pp. 354-363 , doi: 10.1016/j.future.2017.02.009.

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: 10.1080/14498596.2018.1505564.

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: 10.3390/rs11020196.

Rajbhandari, S, Aryal, J ORCID: 0000-0002-4875-2127, Osborn, J ORCID: 0000-0003-2278-3766, Musk, R and Lucieer, A ORCID: 0000-0002-9468-4516 2017 , 'Benchmarking the applicability of ontology in geographic object-based image analysis' , ISPRS International Journal of Geo-Information, vol. 6 , pp. 1-24 , doi: 10.3390/ijgi6120386.

Book Section

Rajbhandari, S, Aryal, J ORCID: 0000-0002-4875-2127, Osborn, J ORCID: 0000-0003-2278-3766, Lucieer, A ORCID: 0000-0002-9468-4516 and Musk, R 2018 , 'Employing ontology to capture expert intelligence within GEOBIA: automation of the interpretation process', in RA White and A Coltekin and RR Hoffman (eds.), Remote Sensing and Cognition: Human Factors in Image Interpretation , Taylor and Francis Group, United States, pp. 151-175.

This list was generated on Wed Mar 20 01:55:38 2019 AEDT.
TOP