M. Ahmadlou

发表

USING MULTIVARIATE ADAPTIVE REGRESSION SPLINE AND ARTIFICIAL NEURAL NETWORK TO SIMULATE URBANIZATION IN MUMBAI, INDIA

Hossein Shafizadeh-Moghadam, M. Ahmadlou, M. Delavar, 2015 .

Flood susceptibility assessment using integration of adaptive network-based fuzzy inference system (ANFIS) and biogeography-based optimization (BBO) and BAT algorithms (BA)

Himan Shahabi, Ataollah Shirzadi, Mohammad Hossein Karimi, 2019 .

A comparative study of classification and regression tree, multivariate adaptive regression spline and random forest models to simulate land use changes: A case study of Shirgah in Iran

M. Ahmadlou, M. Karimi, M. Delavar, 2018 .

Enhanced classification and regression tree (CART) by genetic algorithm (GA) and grid search (GS) for flood susceptibility mapping and assessment

M. Ahmadlou, M. Karimi, Yasser Ebrahimian Gajari, 2022, Geocarto International.

GIS-based landslide susceptibility assessment and mapping in Ajloun and Jerash governorates in Jordan using genetic algorithm-based ensemble models

Abdel Rahman Al-Shabeeb, Ali Nouh Mabdeh, M. Ahmadlou, 2022, Acta Geophysica.

Multiple Land Use Change Modeling Using Multivariate Adaptive Regression Spline and Geospatial Information System

M. Ahmadlou, M. Delavar, 2015 .

COMPUTATIONAL FLUID DYNAMICS SIMULATION OF MOVING-BED NANOCATALYTIC CRACKING PROCESS FOR THE LIGHTENING OF HEAVY CRUDE OIL

M. Ahmadlou, M. Rezakazemi, 2018 .

Novel hybrid models combining meta-heuristic algorithms with support vector regression (SVR) for groundwater potential mapping

Rida Al-Adamat, A’kif Al-Fugara, Mohammad Ahmadlou, 2020, Geocarto International.

Spatial mapping of groundwater springs potentiality using grid search-based and genetic algorithm-based support vector regression

Rida Al-Adamat, A’kif Al-Fugara, Mohammad Ahmadlou, 2020, Geocarto International.

A new framework to deal with the class imbalance problem in urban gain modeling based on clustering and ensemble models

Robert Gilmore Pontius, Mohammad Ahmadlou, Mohammad Karimi, 2021, Geocarto International.

Multi sources hydrological assessment over Vu Gia Thu Bon Basin, Vietnam

Duong Tran Anh, E. Elahi, M. Ahmadlou, 2021 .

Wildland Fire Susceptibility Mapping Using Support Vector Regression and Adaptive Neuro-Fuzzy Inference System-Based Whale Optimization Algorithm and Simulated Annealing

Hamid Reza Pourghasemi, Biswajeet Pradhan, Rida Al-Adamat, 2021, ISPRS Int. J. Geo Inf..

Flood susceptibility mapping and assessment using a novel deep learning model combining multilayer perceptron and autoencoder neural networks

Abdel Rahman Al-Shabeeb, M. Ahmadlou, N. Al‐Ansari, 2020, Journal of Flood Risk Management.

Novel Ensemble-Based Machine Learning Models Based on The Bagging, Boosting and Random Subspace Methods for Landslide Susceptibility Mapping

Biswajeet Pradhan, Mohammad Ahmadlou, Ali Nouh Mabdeh, 2021 .

Integration of genetic algorithm and multiple kernel support vector regression for modeling urban growth

Mahdi Hasanlou, Mahmoud Reza Delavar, Hossein Shafizadeh-Moghadam, 2017, Comput. Environ. Urban Syst..

DTM extraction from DSM using a multi-scale DTM fusion strategy based on deep learning

H. Arefi, M. Ahmadlou, H. Amini Amirkolaee, 2022, Remote Sensing of Environment.

MODELING URBAN DYNAMICS USING RANDOM FOREST: IMPLEMENTING ROC AND TOC FOR MODEL EVALUATION

Hossein Shafizadeh-Moghadam, Mohammad Ahmadlou, Amin Tayyebi, 2016 .