| A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran K Khosravi, BT Pham, K Chapi, A Shirzadi, H Shahabi, I Revhaug, ... Science of the Total Environment 627, 744-755, 2018 | 702 | 2018 |
| A comparative assessment of flood susceptibility modeling using multi-criteria decision-making analysis and machine learning methods K Khosravi, H Shahabi, BT Pham, J Adamowski, A Shirzadi, B Pradhan, ... Journal of Hydrology 573, 311-323, 2019 | 641 | 2019 |
| Hybrid integration of Multilayer Perceptron Neural Networks and machine learning ensembles for landslide susceptibility assessment at Himalayan area (India) using GIS BT Pham, DT Bui, I Prakash, MB Dholakia Catena 149, 52-63, 2017 | 636 | 2017 |
| Influence of data splitting on performance of machine learning models in prediction of shear strength of soil QH Nguyen, HB Ly, LS Ho, N Al-Ansari, HV Le, VQ Tran, I Prakash, ... Mathematical Problems in Engineering 2021 (1), 4832864, 2021 | 595 | 2021 |
| A comparative study of different machine learning methods for landslide susceptibility assessment: A case study of Uttarakhand area (India) BT Pham, B Pradhan, DT Bui, I Prakash, MB Dholakia Environmental modelling & software 84, 240-250, 2016 | 537 | 2016 |
| Landslide susceptibility assesssment in the Uttarakhand area (India) using GIS: a comparison study of prediction capability of naïve bayes, multilayer perceptron neural … BT Pham, D Tien Bui, HR Pourghasemi, P Indra, MB Dholakia Theoretical and Applied Climatology 128, 255-273, 2017 | 392 | 2017 |
| Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches BT Pham, I Prakash, SK Singh, A Shirzadi, H Shahabi, DT Bui Catena 175, 203-218, 2019 | 296 | 2019 |
| Prediction success of machine learning methods for flash flood susceptibility mapping in the Tafresh watershed, Iran S Janizadeh, M Avand, A Jaafari, TV Phong, M Bayat, E Ahmadisharaf, ... Sustainability 11 (19), 5426, 2019 | 258 | 2019 |
| A novel hybrid intelligent model of support vector machines and the MultiBoost ensemble for landslide susceptibility modeling BT Pham, A Jaafari, I Prakash, DT Bui Bulletin of Engineering Geology and the Environment 78, 2865-2886, 2019 | 246 | 2019 |
| Spatial prediction of landslides using hybrid machine learning approach based on Random Subspace and Classification and Regression Tree BT Pham, I Prakash, DT Bui Geomorphology, 2017 | 238 | 2017 |
| Development of advanced artificial intelligence models for daily rainfall prediction BT Pham, LM Le, TT Le, KTT Bui, VM Le, HB Ly, I Prakash Atmospheric Research 237, 104845, 2020 | 236 | 2020 |
| Performance evaluation of machine learning methods for forest fire modeling and prediction BT Pham, A Jaafari, M Avand, N Al-Ansari, T Dinh Du, HPH Yen, ... Symmetry 12 (6), 1022, 2020 | 213 | 2020 |
| A novel artificial intelligence approach based on Multi-layer Perceptron Neural Network and Biogeography-based Optimization for predicting coefficient of consolidation of soil BT Pham, MD Nguyen, KTT Bui, I Prakash, K Chapi, DT Bui Catena 173, 302-311, 2019 | 213 | 2019 |
| A comparison study of DRASTIC methods with various objective methods for groundwater vulnerability assessment K Khosravi, M Sartaj, FTC Tsai, VP Singh, N Kazakis, AM Melesse, ... Science of the total environment 642, 1032-1049, 2018 | 207 | 2018 |
| Soft computing ensemble models based on logistic regression for groundwater potential mapping PT Nguyen, DH Ha, M Avand, A Jaafari, HD Nguyen, N Al-Ansari, ... Applied Sciences 10 (7), 2469, 2020 | 201 | 2020 |
| GIS based hybrid computational approaches for flash flood susceptibility assessment BT Pham, M Avand, S Janizadeh, TV Phong, N Al-Ansari, LS Ho, S Das, ... Water 12 (3), 683, 2020 | 188 | 2020 |
| Flood risk assessment using hybrid artificial intelligence models integrated with multi-criteria decision analysis in Quang Nam Province, Vietnam BT Pham, C Luu, T Van Phong, HD Nguyen, H Van Le, TQ Tran, HT Ta, ... Journal of Hydrology 592, 125815, 2021 | 179 | 2021 |
| A hybrid machine learning ensemble approach based on a radial basis function neural network and rotation forest for landslide susceptibility modeling: A case study in the … BT Pham, A Shirzadi, DT Bui, I Prakash, MB Dholakia International Journal of Sediment Research 33 (2), 157-170, 2018 | 179 | 2018 |
| A comparative study of least square support vector machines and multiclass alternating decision trees for spatial prediction of rainfall-induced landslides in a tropical … BT Pham, D Tien Bui, MB Dholakia, I Prakash, HV Pham Geotechnical and Geological Engineering 34, 1807-1824, 2016 | 173 | 2016 |
| Development of artificial intelligence models for the prediction of Compression Coefficient of soil: An application of Monte Carlo sensitivity analysis BT Pham, MD Nguyen, D Van Dao, I Prakash, HB Ly, TT Le, LS Ho, ... Science of The Total Environment 679, 172-184, 2019 | 169 | 2019 |
Nadhir Al-AnsariLulea University of TechnologyZweryfikowany adres z ltu.se
