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Showing results 1 to 20 of 31
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Issue Date
Title
Author(s)
2020-08-03
A comparison between three conditioning factors dataset for landslide prediction in the sajadrood catchment of iran
Kalantar, B
;
Ueda, N
;
Al-Najjar, HAH
;
Saeidi, V
;
Gibril, MBA
;
Halin, AA
2023-04-01
A Comprehensive Review of Geospatial Technology Applications in Earthquake Preparedness, Emergency Management, and Damage Assessment
Shafapourtehrany, M
;
Batur, M
;
Shabani, F
;
Pradhan, B
;
Kalantar, B
;
Özener, H
2019-01-01
Air quality index prediction using IDW geostatistical technique and OLS-based GIS technique in Kuala Lumpur, Malaysia
Jumaah, HJ
;
Ameen, MH
;
Kalantar, B
;
Rizeei, HM
;
Jumaah, SJ
2019-04-01
Application of rotation forest with decision trees as base classifier and a novel ensemble model in spatial modeling of groundwater potential
Naghibi, SA
;
Dolatkordestani, M
;
Rezaei, A
;
Amouzegari, P
;
Heravi, MT
;
Kalantar, B
;
Pradhan, B
2020-11-01
Assessment of convolutional neural network architectures for earthquake-induced building damage detection based on pre-and post-event orthophoto images
Kalantar, B
;
Ueda, N
;
Al-Najjar, HAH
;
Halin, AA
2018-12-01
Assessment of the effects of training data selection on the landslide susceptibility mapping: a comparison between support vector machine (SVM), logistic regression (LR) and artificial neural networks (ANN)
Kalantar, B
;
Pradhan, B
;
Amir Naghibi, S
;
Motevalli, A
;
Mansor, S
2017-05-01
A comparative assessment of GIS-based data mining models and a novel ensemble model in groundwater well potential mapping
Naghibi, SA
;
Moghaddam, DD
;
Kalantar, B
;
Pradhan, B
;
Kisi, O
2019-01-01
Conditioning factor determination for mapping and prediction of landslide susceptibility using machine learning algorithms
Al-Najjar, HAH
;
Kalantar, B
;
Pradhan, B
;
Saeidi, V
2019-07
Conditioning Factors Determination for Landslide Susceptibility Mapping Using Support Vector Machine Learning
Kalantar, B
;
Ueda, N
;
Lay, US
;
Al-Najjar, HAH
;
Halin, AA
2017-05-04
Debris flow susceptibility assessment using airborne laser scanning data
Pradhan, B
;
Kalantar, B
;
Abdulwahid, WM
;
Dieu, BT
2017-05-19
Drone-based land-cover mapping using a fuzzy unordered rule induction algorithm integrated into object-based image analysis
Kalantar, B
;
Mansor, SB
;
Sameen, MI
;
Pradhan, B
;
Shafri, HZM
2024-09-28
Enhancing Coffee Agroforestry Systems Suitability Using Geospatial Analysis and Sentinel Satellite Data in Gedeo Zone, Ethiopia.
Nigussie, W
;
Al-Najjar, H
;
Zhang, W
;
Yirsaw, E
;
Nega, W
;
Zhang, Z
;
Kalantar, B
2017-05-04
Ensemble disagreement active learning for spatial prediction of shallow landslide
Pradhan, B
;
Sameen, MI
;
Kalantar, B
2018-01-01
A geospatial solution using a TOPSIS approach for prioritizing urban projects in Libya
Amazeeq, MSAB
;
Kalantar, B
;
Al-Najjar, HAH
;
Idrees, MO
;
Pradhan, B
;
Mansor, S
2017
GIS-based Groundwater Spring Potential Mapping Using Data Mining Boosted Regression Tree and Probabilistic Frequency Ratio Models in Iran
Mousavi, SM
;
Golkarian, A
;
Naghibi, SA
;
Kalantar, B
;
Pradhan, B
2019-02-13
Groundwater potential mapping using a novel data-mining ensemble model
Kordestani, MD
;
Naghibi, SA
;
Hashemi, H
;
Ahmadi, K
;
Kalantar, B
;
Pradhan, B
2018-03-01
Groundwater potential mapping using C5.0, random forest, and multivariate adaptive regression spline models in GIS
Golkarian, A
;
Naghibi, SA
;
Kalantar, B
;
Pradhan, B
2018-04-01
Improving the accuracy of landslide susceptibility model using a novel region-partitioning approach
Hong, H
;
Pradhan, B
;
Sameen, MI
;
Kalantar, B
;
Zhu, A
;
Chen, W
2019-06-01
Land cover classification from fused DSM and UAV images using convolutional neural networks
Al-Najjar, HAH
;
Kalantar, B
;
Pradhan, B
;
Saeidi, V
;
Halin, AA
;
Ueda, N
;
Mansor, S
2019-01-01
Land use and land cover mapping using rule-based classification in Karbala City, Iraq
Ahmed, AA
;
Kalantar, B
;
Pradhan, B
;
Mansor, S
;
Sameen, MI