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Analysing urban growth using machine learning and open data: An artificial neural network modelled case study of five Greek cities
Sustainable Cities and Society,
2023
DOI:10.1016/j.scs.2022.104337
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Expatriates’ Housing Dispersal Outlook in a Rapidly Developing Metropolis Based on Urban Growth Predicted Using a Machine Learning Algorithm
Housing Policy Debate,
2023
DOI:10.1080/10511482.2021.1962939
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Simulation of urban growth scenarios using integration of multi-criteria analysis and game theory
Land Use Policy,
2022
DOI:10.1016/j.landusepol.2022.106267
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Simulation of urban growth scenarios using integration of multi-criteria analysis and game theory
Land Use Policy,
2022
DOI:10.1016/j.landusepol.2022.106267
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On the spatiotemporal generalization of machine learning and ensemble models for simulating built‐up land expansion
Transactions in GIS,
2022
DOI:10.1111/tgis.12861
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Evaluating healthcare access in informal settlements using satellites and neural networks
Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction,
2022
DOI:10.1680/jsmic.21.00006
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Simulation of urban growth scenarios using integration of multi-criteria analysis and game theory
Land Use Policy,
2022
DOI:10.1016/j.landusepol.2022.106267
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[8]
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Expatriates’ Housing Dispersal Outlook in a Rapidly Developing Metropolis Based on Urban Growth Predicted Using a Machine Learning Algorithm
Housing Policy Debate,
2021
DOI:10.1080/10511482.2021.1962939
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Invited perspectives: How machine learning will change flood risk and impact assessment
Natural Hazards and Earth System Sciences,
2020
DOI:10.5194/nhess-20-1149-2020
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