| Flood susceptibility assessment using integration of adaptive network-based fuzzy inference system (ANFIS) and biogeography-based optimization (BBO) and BAT algorithms (BA) M Ahmadlou, M Karimi, S Alizadeh, A Shirzadi, D Parvinnejhad, ... Geocarto International 34 (11), 1252-1272, 2019 | 250 | 2019 |
| Spatial mapping of groundwater springs potentiality using grid search-based and genetic algorithm-based support vector regression A Al-Fugara, M Ahmadlou, AR Al-Shabeeb, S AlAyyash, H Al-Amoush, ... Geocarto International 37 (1), 284-303, 2022 | 96 | 2022 |
| Flood susceptibility mapping and assessment using a novel deep learning model combining multilayer perceptron and autoencoder neural networks M Ahmadlou, A Al‐Fugara, AR Al‐Shabeeb, A Arora, R Al‐Adamat, ... Journal of Flood Risk Management 14 (1), e12683, 2021 | 89 | 2021 |
| Integration of genetic algorithm and multiple kernel support vector regression for modeling urban growth H Shafizadeh-Moghadam, A Tayyebi, M Ahmadlou, MR Delavar, ... Computers, Environment and Urban Systems 65, 28-40, 2017 | 70 | 2017 |
| Wildland fire susceptibility mapping using support vector regression and adaptive neuro-fuzzy inference system-based whale optimization algorithm and simulated annealing A Al-Fugara, AN Mabdeh, M Ahmadlou, HR Pourghasemi, R Al-Adamat, ... ISPRS International Journal of Geo-Information 10 (6), 382, 2021 | 28 | 2021 |
| Novel hybrid models combining meta-heuristic algorithms with support vector regression (SVR) for groundwater potential mapping A Al-Fugara, M Ahmadlou, R Shatnawi, S AlAyyash, R Al-Adamat, ... Geocarto International 37 (9), 2627-2646, 2022 | 27 | 2022 |
| DTM extraction from DSM using a multi-scale DTM fusion strategy based on deep learning HA Amirkolaee, H Arefi, M Ahmadlou, V Raikwar Remote Sensing of Environment 274, 113014, 2022 | 17 | 2022 |
| Enhanced classification and regression tree (CART) by genetic algorithm (GA) and grid search (GS) for flood susceptibility mapping and assessment M Ahmadlou, Y Ebrahimian Ghajari, M Karimi Geocarto International 37 (26), 13638-13657, 2022 | 15 | 2022 |
| Comparing ANN and CART to model multiple land use changes: A case study of Sari and Ghaem-Shahr cities in Iran M Ahmadlou, MR Delavar, A Tayyebi Journal of Geomatics Science and Technology 6 (1), 292-303, 2016 | 13 | 2016 |
| A comparative study of machine learning techniques to simulate land use changes M Ahmadlou, MR Delavar, A Basiri, M Karimi Journal of the Indian Society of Remote Sensing 47, 53-62, 2019 | 11 | 2019 |
| Using multivariate adaptive regression spline and artificial neural network to simulate urbanization in Mumbai, India M Ahmadlou, MR Delavar, A Tayyebi, H Shafizadeh-Moghadam The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2015 | 10 | 2015 |
| A new framework to deal with the class imbalance problem in urban gain modeling based on clustering and ensemble models M Ahmadlou, M Karimi, RG Pontius Jr Geocarto International 37 (19), 5669-5692, 2022 | 9 | 2022 |
| Multi sources hydrological assessment over Vu Gia Thu Bon Basin, Vietnam AM Ilyas, QB Pham, D Zhu, E Elahi, NTT Linh, DT Anh, KM Khedher, ... Hydrological Sciences Journal 66 (8), 1383-1392, 2021 | 8 | 2021 |
| Modeling urban dynamics using random forest: Implementing Roc and Toc for model evaluation M Ahmadlou, MR Delavar, H Shafizadeh-Moghadam, A Tayyebi The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2016 | 7 | 2016 |
| GIS-based landslide susceptibility assessment and mapping in Ajloun and Jerash governorates in Jordan using genetic algorithm-based ensemble models AN Mabdeh, A Al-Fugara, M Ahmadlou, R Al-Adamat, AR Al-Shabeeb Acta Geophysica 70 (3), 1253-1267, 2022 | 6 | 2022 |
| Multiple land use change modeling using multivariate adaptive regression spline and geospatial information system M Ahmadlou, MR Delavar Journal of Geomatics Science and Technology 5 (2), 131-146, 2015 | 6 | 2015 |
| The use of maximum entropy and ecological niche factor analysis to decrease uncertainties in samples for urban gain models M Ahmadlou, M Karimi, N Al-Ansari GIScience & Remote Sensing 60 (1), 2222980, 2023 | 3 | 2023 |
| Novel ensemble-based machine learning models based on the bagging, boosting and random subspace methods for landslide susceptibility mapping AN Mabdeh, A Al-Fugara, M Ahmadlou, B Pradhan | 2 | 2021 |
| Three novel cost-sensitive machine learning models for urban growth modelling M Ahmadlou, M Karimi, SS Sammen, K Alsafadi Geocarto International 39 (1), 2353252, 2024 | 1 | 2024 |
| Applying the Fuzzy AHP and Multi-Objective Land Allocation method for Land use planning. Case study: Sari city, Iran M Ahmadlou, P Pahlavani, MP Arab | | |
A'kif Al-FugaraProfessor(Full) Al al-Bayt University在 aabu.edu.jo 的电子邮件经过验证
