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Land-use dynamic discovery based on heterogeneous mobility sources.

, , и . Int. J. Intell. Syst., 36 (1): 478-525 (2021)

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Alejandro Saenz

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Carlos Loría-Sáenz

Alvaro Monsalve Sáenz

 

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Land use discovery based on Volunteer Geographic Information classification., и . Expert Syst. Appl., (2020)Nationwide Air Pollution Forecasting with Heterogeneous Graph Neural Networks., , и . ACM Trans. Intell. Syst. Technol., 15 (1): 18:1-18:19 (февраля 2024)Human Mobility Prediction with Region-based Flows and Road Traffic Data., и . J. Univers. Comput. Sci., 29 (4): 374-396 (апреля 2023)Human Mobility Prediction With Region-Based Flows and Water Consumption., , , и . IEEE Access, (2021)Evaluation of synthetic data generation for intelligent climate control in greenhouses., , , , , и . Appl. Intell., 53 (21): 24765-24781 (ноября 2023)A Collaborative Application for Assisting the Management of Household Plastic Waste through Smart Bins: A Case of Study in the Philippines., , , и . Sensors, 21 (13): 4534 (2021)Towards a Web Tool for the Analysis of Twitter Profiling Information., и . Intelligent Environments (Workshops), том 28 из Ambient Intelligence and Smart Environments, стр. 391-399. IOS Press, (2020)Human Mobility Modelling Based on Dense Transit Areas Detection with Opportunistic Sensing., , , и . Mob. Inf. Syst., (2016)Towards Energy Efficiency Smart Buildings Models Based on Intelligent Data Analytics., , , и . ANT/SEIT, том 83 из Procedia Computer Science, стр. 994-999. Elsevier, (2016)Opportunistic smart object aggregation based on clustering and event processing., , , и . ICC, стр. 1-6. IEEE, (2016)