User profiles for Kamran Chapi
 | Kamran ChapiFaculty of Natural Resources, University of Kurdistan, Sanandaj, Iran Verified email at uok.ac.ir Cited by 6792 |
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 …
Novel GIS based machine learning algorithms for shallow landslide susceptibility mapping
The main objective of this research was to introduce a novel machine learning algorithm of
alternating decision tree (ADTree) based on the multiboost (MB), bagging (BA), rotation forest …
alternating decision tree (ADTree) based on the multiboost (MB), bagging (BA), rotation forest …
Novel hybrid evolutionary algorithms for spatial prediction of floods
Adaptive neuro-fuzzy inference system (ANFIS) includes two novel GIS-based ensemble
artificial intelligence approaches called imperialistic competitive algorithm (ICA) and firefly …
artificial intelligence approaches called imperialistic competitive algorithm (ICA) and firefly …
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 …
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 …
Flash flood susceptibility analysis and its mapping using different bivariate models in Iran: a comparison between Shannon's entropy, statistical index, and weighting …
K Khosravi, HR Pourghasemi, K Chapi… - Environmental monitoring …, 2016 - Springer
Flooding is a very common worldwide natural hazard causing large-scale casualties every
year; Iran is not immune to this thread as well. Comprehensive flood susceptibility mapping is …
year; Iran is not immune to this thread as well. Comprehensive flood susceptibility mapping is …
Shallow landslide susceptibility assessment using a novel hybrid intelligence approach
…, DT Bui, BT Pham, K Solaimani, K Chapi… - 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 …
New hybrids of anfis with several optimization algorithms for flood susceptibility modeling
This study presents three new hybrid artificial intelligence optimization models—namely,
adaptive neuro-fuzzy inference system (ANFIS) with cultural (ANFIS-CA), bees (ANFIS-BA), and …
adaptive neuro-fuzzy inference system (ANFIS) with cultural (ANFIS-CA), bees (ANFIS-BA), and …
Landslide spatial modelling using novel bivariate statistical based Naïve Bayes, RBF Classifier, and RBF Network machine learning algorithms
…, H Bian, J Ma, Y Chen, X Wang, K Chapi… - Science of the total …, 2019 - Elsevier
Landslides are major hazards for human activities often causing great damage to human
lives and infrastructure. Therefore, the main aim of the present study is to evaluate and …
lives and infrastructure. Therefore, the main aim of the present study is to evaluate and …