| Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic … D Tien Bui, TA Tuan, H Klempe, B Pradhan, I Revhaug Landslides 13, 361-378, 2016 | 1151 | 2016 |
| Advanced control systems engineering for energy and comfort management in a building environment—A review AI Dounis, C Caraiscos Renewable and Sustainable Energy Reviews 13 (6-7), 1246-1261, 2009 | 1115 | 2009 |
| Landslide susceptibility assessment in vietnam using support vector machines, decision tree, and Naive Bayes Models D Tien Bui, B Pradhan, O Lofman, I Revhaug Mathematical problems in Engineering 2012, 2012 | 578 | 2012 |
| 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 | 351 | 2017 |
| Landslide susceptibility assessment in the Hoa Binh province of Vietnam: A comparison of the Levenberg–Marquardt and Bayesian regularized neural networks DT Bui, B Pradhan, O Lofman, I Revhaug, OB Dick Geomorphology 171, 12-29, 2012 | 338 | 2012 |
| Modification of landslide susceptibility mapping using optimized PSO-ANN technique H Moayedi, M Mehrabi, M Mosallanezhad, ASA Rashid, B Pradhan Engineering with Computers 35, 967-984, 2019 | 320 | 2019 |
| Hydrothermal synthesis of DyMn2O5/Ba3Mn2O8 nanocomposite as a potential hydrogen storage material SR Yousefi, M Masjedi-Arani, MS Morassaei, M Salavati-Niasari, ... International Journal of Hydrogen Energy 44 (43), 24005-24016, 2019 | 307 | 2019 |
| Spatial prediction of rainfall-induced landslides for the Lao Cai area (Vietnam) using a hybrid intelligent approach of least squares support vector machines inference model … D Tien Bui, TA Tuan, ND Hoang, NQ Thanh, DB Nguyen, N Van Liem, ... Landslides 14, 447-458, 2017 | 305 | 2017 |
| GIS-based modeling of rainfall-induced landslides using data mining-based functional trees classifier with AdaBoost, Bagging, and MultiBoost ensemble frameworks D Tien Bui, TC Ho, B Pradhan, BT Pham, VH Nhu, I Revhaug Environmental Earth Sciences 75, 1-22, 2016 | 290 | 2016 |
| A spatially explicit deep learning neural network model for the prediction of landslide susceptibility D Van Dao, A Jaafari, M Bayat, D Mafi-Gholami, C Qi, H Moayedi, ... Catena 188, 104451, 2020 | 266 | 2020 |
| Improving accuracy estimation of Forest Aboveground Biomass based on incorporation of ALOS-2 PALSAR-2 and Sentinel-2A imagery and machine learning: A case study of the … S Vafaei, J Soosani, K Adeli, H Fadaei, H Naghavi, TD Pham, D Tien Bui Remote Sensing 10 (2), 172, 2018 | 245 | 2018 |
| A novel artificial intelligence technique to predict compressive strength of recycled aggregate concrete using ICA-XGBoost model J Duan, PG Asteris, H Nguyen, XN Bui, H Moayedi Engineering with Computers 37, 3329-3346, 2021 | 235 | 2021 |
| Rainfall-induced landslide susceptibility assessment at the Chongren area (China) using frequency ratio, certainty factor, and index of entropy H Hong, W Chen, C Xu, AM Youssef, B Pradhan, D Tien Bui Geocarto international 32 (2), 139-154, 2017 | 234 | 2017 |
| Fuzzy Q-Learning for multi-agent decentralized energy management in microgrids P Kofinas, AI Dounis, GA Vouros Applied energy 219, 53-67, 2018 | 226 | 2018 |
| New hybrids of anfis with several optimization algorithms for flood susceptibility modeling D Tien Bui, K Khosravi, S Li, H Shahabi, M Panahi, VP Singh, K Chapi, ... Water 10 (9), 1210, 2018 | 219 | 2018 |
| Optimization of causative factors for landslide susceptibility evaluation using remote sensing and GIS data in parts of Niigata, Japan J Dou, D Tien Bui, A P. Yunus, K Jia, X Song, I Revhaug, H Xia, Z Zhu PloS one 10 (7), e0133262, 2015 | 211 | 2015 |
| Multi-agent control system with information fusion based comfort model for smart buildings Z Wang, L Wang, AI Dounis, R Yang Applied Energy 99, 247-254, 2012 | 208 | 2012 |
| Employing artificial bee colony and particle swarm techniques for optimizing a neural network in prediction of heating and cooling loads of residential buildings G Zhou, H Moayedi, M Bahiraei, Z Lyu Journal of Cleaner Production 254, 120082, 2020 | 199 | 2020 |
| Electrical efficiency of electrolytic hydrogen production K Mazloomi, NB Sulaiman, H Moayedi International Journal of Electrochemical Science 7 (4), 3314-3326, 2012 | 199 | 2012 |
| Applications of rice husk ash as green and sustainable biomass H Moayedi, B Aghel, H Nguyen, ASA Rashid Journal of Cleaner Production 237, 117851, 2019 | 198 | 2019 |
