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Mohammad Ahmadlou
Mohammad Ahmadlou
PhD in GIS, K. N. T. University of Technology
Verified email at email.kntu.ac.ir
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Cited by
Cited by
Year
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
2462019
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
902022
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
842021
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
642017
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
272022
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
262021
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
142022
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
142022
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
132016
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
112019
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
102015
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
82022
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
72016
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
62022
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
62021
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
62015
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
22023
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
22021
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
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Articles 1–19