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Modelling built-up expansion and densification with multinomial logistic regression, cellular automata and genetic algorithm.

, , , , , and . Comput. Environ. Urban Syst., (2018)

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Multi-view Spectral Clustering via Integrating Label and Data Graph Learning., , , and . ICIAP (3), volume 13233 of Lecture Notes in Computer Science, page 109-120. Springer, (2022)A multi-label cellular automata model for land change simulation., , , and . Trans. GIS, 21 (6): 1298-1320 (2017)A Web-Based Decision Support System for Impacts Assessment of Urban Mobility: WDSS4IA., , , and . AWIC, volume 43 of Advances in Soft Computing, page 272-277. Springer, (2007)Modelling built-up expansion and densification with multinomial logistic regression, cellular automata and genetic algorithm., , , , , and . Comput. Environ. Urban Syst., (2018)Cellular automata based on artificial neural network for simulating land use changes., , and . SpringSim (ANSS), page 1. SCS/ACM, (2012)Contributions of MIR to soundscape ecology. Part 3: Tagging and classifying audio features using a multi-labeling k-nearest neighbor approach., , , , , , , and . Ecol. Informatics, (2019)Multi-label class assignment in land-use modelling., , , and . Int. J. Geogr. Inf. Sci., 29 (6): 1023-1041 (2015)The land transformation model-cluster framework: Applying k-means and the Spark computing environment for large scale land change analytics., , , and . Environ. Model. Softw., (2019)Data Cleaning to fine-tune a Transfer Learning approach for Air Quality Prediction., , , , , and . ISC2, page 1-5. IEEE, (2022)Modelling the Drivers of Urban Densification to Evaluate Built-up Areas Extension: A Data-Modelling Solution Towards Zero Net Land Take., , and . ICCSA (2), volume 13376 of Lecture Notes in Computer Science, page 260-270. Springer, (2022)