B Kalantar
Cited by
Cited by
Assessment of the effects of training data selection on the landslide susceptibility mapping: a comparison between support vector machine (SVM), logistic regression (LR) and …
B Kalantar, B Pradhan, SA Naghibi, A Motevalli, S Mansor
Geomatics, Natural Hazards and Risk 9 (1), 49-69, 2018
Groundwater potential mapping using C5. 0, random forest, and multivariate adaptive regression spline models in GIS
A Golkarian, SA Naghibi, B Kalantar, B Pradhan
Environmental monitoring and assessment 190, 1-16, 2018
A comparative assessment of GIS-based data mining models and a novel ensemble model in groundwater well potential mapping
SA Naghibi, DD Moghaddam, B Kalantar, B Pradhan, O Kisi
Journal of Hydrology 548, 471-483, 2017
Land cover classification from fused DSM and UAV images using convolutional neural networks
HAH Al-Najjar, B Kalantar, B Pradhan, V Saeidi, AA Halin, N Ueda, ...
Remote Sensing 11 (12), 1461, 2019
Groundwater potential mapping using a novel data-mining ensemble model
MD Kordestani, SA Naghibi, H Hashemi, K Ahmadi, B Kalantar, ...
Hydrogeology journal, 2019
Landslide susceptibility mapping: Machine and ensemble learning based on remote sensing big data
B Kalantar, N Ueda, V Saeidi, K Ahmadi, AA Halin, F Shabani
Remote Sensing 12 (11), 1737, 2020
Potential of hybrid evolutionary approaches for assessment of geo-hazard landslide susceptibility mapping
H Nguyen, M Mehrabi, B Kalantar, H Moayedi
Geomatics, Natural Hazards and Risk, 2019
A novel swarm intelligence—Harris hawks optimization for spatial assessment of landslide susceptibility
DT Bui, H Moayedi, B Kalantar, A Osouli, B Pradhan, H Nguyen, ...
Sensors 19 (16), 3590, 2019
Forest fire susceptibility prediction based on machine learning models with resampling algorithms on remote sensing data
B Kalantar, N Ueda, MO Idrees, S Janizadeh, K Ahmadi, F Shabani
Remote Sensing 12 (22), 3682, 2020
Air quality index prediction using IDW geostatistical technique and OLS-based GIS technique in Kuala Lumpur, Malaysia
HJ Jumaah, MH Ameen, B Kalantar, HM Rizeei, SJ Jumaah
Geomatics, Natural Hazards and Risk 10 (1), 2185-2199, 2019
Novel hybrids of adaptive neuro-fuzzy inference system (ANFIS) with several metaheuristic algorithms for spatial susceptibility assessment of seismic-induced landslide
H Moayedi, M Mehrabi, B Kalantar, M Abdullahi Mu’azu, AS A. Rashid, ...
Geomatics, Natural Hazards and Risk 10 (1), 1879-1911, 2019
GIS-based groundwater spring potential mapping using data mining boosted regression tree and probabilistic frequency ratio models in Iran
SM Mousavi, A Golkarian, SA Naghibi, B Kalantar, B Pradhan
Aims Geosci 3 (1), 91-115, 2017
Fire-Net: A deep learning framework for active forest fire detection
ST Seydi, V Saeidi, B Kalantar, N Ueda, AA Halin
Journal of Sensors 2022, 1-14, 2022
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, MS Tehrany, F Shabani, ...
Ecological Indicators 116, 106436, 2020
Drone-based land-cover mapping using a fuzzy unordered rule induction algorithm integrated into object-based image analysis
B Kalantar, SB Mansor, MI Sameen, B Pradhan, HZM Shafri
International journal of remote sensing 38 (8-10), 2535-2556, 2017
Application of rotation forest with decision trees as base classifier and a novel ensemble model in spatial modeling of groundwater potential
SA Naghibi, M Dolatkordestani, A Rezaei, P Amouzegari, MT Heravi, ...
Environmental monitoring and assessment 191, 1-20, 2019
Optimized conditioning factors using machine learning techniques for groundwater potential mapping
B Kalantar, HAH Al-Najjar, B Pradhan, V Saeidi, AA Halin, N Ueda, ...
Water 11 (9), 1909, 2019
Improving the accuracy of landslide susceptibility model using a novel region-partitioning approach
H Hong, B Pradhan, MI Sameen, B Kalantar, A Zhu, W Chen
Landslides 15, 753-772, 2018
Oil palm counting and age estimation from WorldView-3 imagery and LiDAR data using an integrated OBIA height model and regression analysis
HM Rizeei, HZM Shafri, MA Mohamoud, B Pradhan, B Kalantar
Journal of Sensors 2018, 1-13, 2018
Multiple moving object detection from UAV videos using trajectories of matched regional adjacency graphs
B Kalantar, SB Mansor, AA Halin, HZM Shafri, M Zand
IEEE Transactions on geoscience and remote sensing 55 (9), 5198-5213, 2017
The system can't perform the operation now. Try again later.
Articles 1–20