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Ali Asghari
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Coupling machine learning, tree-based and statistical models with cellular automata to simulate urban growth
H Shafizadeh-Moghadam, A Asghari, A Tayyebi, M Taleai
Computers, Environment and Urban Systems 64, 297-308, 2017
1402017
Sensitivity analysis and accuracy assessment of the land transformation model using cellular automata
H Shafizadeh-Moghadam, A Asghari, M Taleai, M Helbich, A Tayyebi
GIScience & Remote Sensing 54 (5), 639-656, 2017
712017
Integrating a Forward Feature Selection algorithm, Random Forest, and Cellular Automata to extrapolate urban growth in the Tehran-Karaj Region of Iran
H Shafizadeh-Moghadam, M Minaei, RG Pontius, A Asghari, ...
Computers, Environment, and Urban Systems 87, 101595, 2021
472021
A structured framework for 3D cadastral data validation − a case study for Victoria, Australia
A Asghari, M Kalantari, A Rajabifard
Land Use Policy 98, 104359, 2019
232019
Advances in techniques to formulate the watertight concept for cadastre
A Asghari, M Kalantari, A Rajabifard
Transactions in GIS 25 (1), 213-237, 2020
82020
On the spatiotemporal generalization of machine learning and ensemble models for simulating built- up land expansion
H Shafizadeh-Moghadam, R Valavi, A Asghari, M Minaei, Y Murayama
Transactions in GIS, 1-18, 2021
62021
Developing an integrated approach to validate 3D ownership spaces in complex multistorey buildings
A Asghari, M Kalantari, A Rajabifard, J Shin
International Journal of Geographical Information Science, 2022
52022
Formative and summative validation of building information model-based cadastral data
A Asghari, M Kalantari, A Rajabifard
Land 10 (8), 822, 2021
52021
3D Spatial Data Validation in Urban Land Administration
A Asghari
University of Melbourne, URL: http://hdl.handle.net/11343/304254, 2022
12022
Modelling urban development using Cellular Automata and Ant Colony Optimization Algorithm (Case Study Tehran)
A Asghari
Shahid Beheshti University, URL: http://library.sbu.ac.ir/islandora/object …, 2016
2016
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Articles 1–10