Farzin Shabani
Cited by
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Biodegradation of low-density polyethylene (LDPE) by mixed culture of Lysinibacillus xylanilyticus and Aspergillus niger in Soil
A Esmaeili, AA Pourbabaee, HA Alikhani, F Shabani, E Esmaeili
Plosone 8 (9), e71720, 2013
Identifying the essential flood conditioning factors for flood prone area mapping using machine learning techniques
Tehrany. M., Jones. S, Shabani. F.
Catena 175, 174-192, 2019
A comparison of absolute performance of different correlative and mechanistic species distribution models in an independent area
F Shabani, L Kumar, M Ahmadi
Ecology and Evolution, 2016
GIS-based spatial prediction of flood prone areas using standalone frequency ratio, logistic regression, weight-of-evidence and their ensemble techniques
MS Tehrany, F Shabani, MN Jebur, H Hong, W Chen, X Xie
Geomatics, Natural Hazards and Risk, 2017
Global alterations in areas of suitability for maize production from climate change and using a mechanistic species distribution model (CLIMEX).
Scientific Reports - Nature, 2017
Evaluating the application of the statistical index method in flood susceptibility mapping and its comparison with frequency ratio and logistic regression methods
MS Tehrany, L Kumar, MN Jebur, F Shabani
Geomatics, Natural Hazards and Risk 10 (1), 2018
A Novel Ensemble Modelling Approach for the Spatial Prediction of Tropical Forest Fire Susceptibility Using Logitboost Machine Learning Classifier and Multi-source Geospatial Data
M Tehrany, S Jones, F Shabani, F Álvarez, T Bui
Theoretical and Applied Climatology, 2018
Climate change impacts on the future distribution of date palms: a modeling exercise using CLIMEX
F Shabani, L Kumar, S Taylor
Plosone 7 (10), e48021, 2012
Assessing accuracy methods of species distribution models: AUC, Specificity, Sensitivity and the True Skill Statistic
F Shabani, L Kumar, M Ahmadi.
Global Journal of Human Social Sciences, 2018
Investigating the effects of different landslide positioning techniques, landslide partitioning approaches, and presence-absence balances on landslide susceptibility mapping …
HR Pourghasemi, A Kornejady, N Kerle, F Shabani
Catena, 2020
Landslide Susceptibility Mapping: Machine and Ensemble Learning based on Remote Sensing Big Data
B Kalantar, N Ueda, V Saeidi, K Ahmadi, A Halin A, F Shabani
Remote Sensing, 2020
Improvement to the prediction of the USLE K factor
F Shabani, L Kumar, A Esmaeili
Geomorphology 204, 229-234, 2014
Forest Fire Susceptibility Prediction Based on Machine Learning Models with Resampling Algorithms on Remote Sensing Data
B Kalantar, N Ueda, M Idrees, S Janizadeh, K Ahmadi, F Shabani
Remote Sensing, 2020
World climate suitability projections to 2050 and 2100 for growing oil palm
N Paterson. R., Kumar. L., Shabani. F., Lima
The Journal of Agricultural Science, 2017
Future distributions of Fusarium oxysporum f. spp. in European, Middle Eastern and North African agricultural regions under climate change
F Shabani, L Kumar, A Esmaeili
Agriculture, ecosystems & environment 197, 96-105, 2014
Central Composite Design Optimization of Zinc Removal from Contaminated Soil, Using Citric Acid as Biodegradable Chelant
F Asadzadeh, M Maleki-Kaklar, N Soiltanalinejad, F Shabani
Scientific Reports - Nature 8 (1), 2633, 2018
A novel GIS-based ensemble technique for flood susceptibility mapping using evidential belief function and support vector machine: Brisbane, Australia
M Tehrany, L Kumar, F Shabani
PeerJ, 2019
Invasive weed species threats to global biodiversity: Future scenarios of changes in the number of invasive species in a changing climate
F Shabani, M Ahmadi, L Kumar, S Solhjouy-fard, M Tehrany, FZ Shabani, ...
Ecological Indicators, 2020
Author Correction: Soil salinity and matric potential interaction on water use, water use efficiency and yield response factor of bean and wheat
M Khataar, MH Mohammadi, F Shabani
Scientific Reports - Nature 8 (1), 13280, 2018
Mapping global risk levels of Bemisia tabaci in areas of suitability for open field tomato cultivation under current and future climates
MC Ramos. R., Kumar, L., Shabani, F., Picanço
PLoSONE 13 (6), e0198925, 2018
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