| 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 | 825 | 2020 |
| 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 | 527 | 2019 |
| 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 | 474 | 2020 |
| 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 | 283 | 2019 |
| 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 | 243 | 2020 |
| 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 | 151 | 2018 |
| 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 | 12 | 2021 |
| Interferometric synthetic aperture Radar (InSAR)-based absence sampling for machine-learning-based landslide susceptibility mapping: The Three Gorges Reservoir area, China R Zhang, L Zhang, Z Fang, T Oguchi, A Merghadi, Z Fu, A Dong, J Dou Remote Sensing 16 (13), 2394, 2024 | 8 | 2024 |
| 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 | 7 | 2023 |
| 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 | 7 | 2022 |
| 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 | 4 | 2020 |
| Advanced Prediction of Landslide Deformation through Temporal Fusion Transformer and Multivariate Time Series Clustering of InSAR: Insights from the Badui Region, Eastern Tibet Y Yang, J Dou, A Merghadi, W Liang, A Dong, D Xiong, L Zhang IEEE Transactions on Geoscience and Remote Sensing, 2024 | 1 | 2024 |
| 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 | | |
Jie DouProfessor, China University of GeosciencesE-mailová adresa ověřena na: cug.edu.cn