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Identifying the use of a park based on clusters of visitors' movements from mobile phone data.

, , , , , and . J. Spatial Inf. Sci., (2019)

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Optimal production planning by reusing components., , , , and . MED, page 1272-1277. IEEE, (2016)Measuring and Assessing Augmented Reality Potential for Educational Purposes: SmartMarca Project., , , , and . AVR (2), volume 11614 of Lecture Notes in Computer Science, page 319-334. Springer, (2019)Sharing health data among general practitioners: The Nu.Sa. project., , , , , , , and . Int. J. Medical Informatics, (2019)Learning from Synthetic Point Cloud Data for Historical Buildings Semantic Segmentation., , , , and . ACM Journal on Computing and Cultural Heritage, 13 (4): 34:1-34:16 (2020)BubblEX: An Explainable Deep Learning Framework for Point-Cloud Classification., , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2022)Data-Driven Knowledge Discovery in Retail: Evidences from the Vending Machine's Industry., , , , , and . ICPR Workshops (2), volume 12662 of Lecture Notes in Computer Science, page 508-520. Springer, (2020)Artificial Intelligence for the analysis of Cultural Heritage point clouds., , , , , , and . DH, (2023)Precision Archaeology: a computational approach to archeological risk assessment., , , , , and . DH, (2023)Machine learning-based approaches to analyse and improve the diagnosis of endothelial dysfunction., , , , and . MESA, page 1-6. IEEE, (2018)A Visual Attentive Model for Discovering Patterns in Eye-Tracking Data - A Proposal in Cultural Heritage., , , , and . Sensors, 20 (7): 2101 (2020)