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Abdelaziz Merghadi
Abdelaziz Merghadi
University of Tebessa
Verified email at univ-tebessa.dz
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Cited by
Year
Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance
A Merghadi, AP Yunus, J Dou, J Whiteley, B ThaiPham, DT Bui, R Avtar, ...
Earth-Science Reviews 207, 103225, 2020
5652020
Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan
J Dou, AP Yunus, DT Bui, A Merghadi, M Sahana, Z Zhu, CW Chen, ...
Science of the total environment 662, 332-346, 2019
4332019
Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous watershed, Japan
J Dou, AP Yunus, DT Bui, A Merghadi, M Sahana, Z Zhu, CW Chen, ...
Landslides 17, 641-658, 2020
3552020
Evaluating scale effects of topographic variables in landslide susceptibility models using GIS-based machine learning techniques
KT Chang, A Merghadi, AP Yunus, BT Pham, J Dou
Scientific reports 9 (1), 12296, 2019
2302019
Different sampling strategies for predicting landslide susceptibilities are deemed less consequential with deep learning
J Dou, AP Yunus, A Merghadi, A Shirzadi, H Nguyen, Y Hussain, R Avtar, ...
Science of the total environment 720, 137320, 2020
1792020
Landslide susceptibility assessment at Mila Basin (Algeria): a comparative assessment of prediction capability of advanced machine learning methods
A Merghadi, B Abderrahmane, D Tien Bui
ISPRS International Journal of Geo-Information 7 (7), 268, 2018
1162018
A comparative study of deep learning and conventional neural network for evaluating landslide susceptibility using landslide initiation zones
J Dou, AP Yunus, A Merghadi, X Wang, H Yamagishi
Understanding and Reducing Landslide Disaster Risk: Volume 2 From Mapping to …, 2021
62021
Predicting suitable habitats of the major forest trees in the Saïda region (Algeria): A reliable reforestation tool
M Djebbouri, M Zouidi, M Terras, A Merghadi
Ekológia (Bratislava) 41 (3), 236-246, 2022
42022
Ground Surface Deformation Analysis Integrating InSAR and GPS Data in the Karstic Terrain of Cheria Basin, Algeria
L Hamdi, N Defaflia, A Merghadi, C Fehdi, AP Yunus, J Dou, QB Pham, ...
Remote Sensing 15 (6), 1486, 2023
22023
InSAR Investigation on DRAA-Douamis Sinkholes in Cheria Northeastern of Algeria
L Hamdi, N Defaflia, C Fehdi, A Merghadi
IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020
22020
الشفعة الإدارية كآلية لتكوين الأملاك الوطنية
مويسي
2021
Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous watershed, Japan.
A Merghadi, M Sahana, Z Zhu, CW Chen, Z Han, Z Han, BT Pham
2020
Evaluating scale effects of topographic variables in landslide susceptibility models using GIS-based machine learning techniques.
CKT Chang KuanTsung, A Merghadi, AP Yunus, BTP Binh Thai Pham, ...
2019
Evaluate landslide representative maps effect using deep learning for assessment susceptibility-a case of Hokkaido earthquake, Japan
J Dou, A Merghadi, AP Yunus, X Wang, H Yamagishi
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