User profiles for Ataollah Shirzadi
 | Ataollah ShirzadiDept. of Watershed Management, Faculty of Natural Resources, University of Kurdistan … Verified email at uok.ac.ir Cited by 11198 |
A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran
Floods are one of the most damaging natural hazards causing huge loss of property,
infrastructure and lives. Prediction of occurrence of flash flood locations is very difficult due to …
infrastructure and lives. Prediction of occurrence of flash flood locations is very difficult due to …
A comparative assessment of flood susceptibility modeling using multi-criteria decision-making analysis and machine learning methods
Floods around the world are having devastating effects on human life and property. In this
paper, three Multi-Criteria Decision-Making (MCDM) analysis techniques (VIKOR, TOPSIS …
paper, three Multi-Criteria Decision-Making (MCDM) analysis techniques (VIKOR, TOPSIS …
Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution
Floods are among Earth's most common natural hazards, and they cause major economic
losses and seriously affect peoples' lives and health. This paper addresses the development …
losses and seriously affect peoples' lives and health. This paper addresses the development …
Novel forecasting approaches using combination of machine learning and statistical models for flood susceptibility mapping
In this research, eight individual machine learning and statistical models are implemented
and compared, and based on their results, seven ensemble models for flood susceptibility …
and compared, and based on their results, seven ensemble models for flood susceptibility …
Landslide susceptibility assessment by novel hybrid machine learning algorithms
: Landslides have multidimensional effects on the socioeconomic as well as environmental
conditions of the impacted areas. The aim of this study is the spatial prediction of landslide …
conditions of the impacted areas. The aim of this study is the spatial prediction of landslide …
Shallow landslide susceptibility assessment using a novel hybrid intelligence approach
A Shirzadi, DT Bui, BT Pham, K Solaimani… - Environmental Earth …, 2017 - Springer
We present a hybrid intelligent approach based on Naïve Bayes trees (NBT) and random
subspace (RS) ensemble for landslide susceptibility mapping at the Bijar region, Kurdistan …
subspace (RS) ensemble for landslide susceptibility mapping at the Bijar region, Kurdistan …
A novel hybrid artificial intelligence approach for flood susceptibility assessment
A new artificial intelligence (AI) model, called Bagging-LMT - a combination of bagging
ensemble and Logistic Model Tree (LMT) - is introduced for mapping flood susceptibility. A …
ensemble and Logistic Model Tree (LMT) - is introduced for mapping flood susceptibility. A …
Flood detection and susceptibility mapping using sentinel-1 remote sensing data and a machine learning approach: Hybrid intelligence of bagging ensemble based …
Mapping flood-prone areas is a key activity in flood disaster management. In this paper, we
propose a new flood susceptibility mapping technique. We employ new ensemble models …
propose a new flood susceptibility mapping technique. We employ new ensemble models …
Uncertainties of prediction accuracy in shallow landslide modeling: Sample size and raster resolution
A Shirzadi, K Solaimani, MH Roshan, A Kavian… - Catena, 2019 - Elsevier
Understanding landslide characteristics such as their locations, dimensions, and spatial
distribution is of highly importance in landslide modeling and prediction. The main objective of …
distribution is of highly importance in landslide modeling and prediction. The main objective of …
Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches
Nowadays, a number of machine learning prediction methods are being applied in the field
of landslide susceptibility modeling of the large area especially in the difficult hilly terrain. In …
of landslide susceptibility modeling of the large area especially in the difficult hilly terrain. In …
