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Sensing Mobility and Routine Locations through Mobile Phone and Crowdsourced Data: Analyzing Travel and Behavior during COVID-19.

, , , and . ISPRS Int. J. Geo Inf., 12 (8): 308 (July 2023)

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A scalable digital twin for vertical farming., , , , and . J. Ambient Intell. Humaniz. Comput., 14 (10): 13981-13996 (October 2023)Predictability of Public Transport Usage: A Study of Bus Rides in Lisbon, Portugal., , , , and . IEEE Trans. Intell. Transp. Syst., 16 (5): 2955-2960 (2015)Towards Sustainable Digital Twins for Vertical Farming., , , , and . ICDIM, page 234-239. IEEE, (2018)Taxi-Aware Map: Identifying and Predicting Vacant Taxis in the City., , , , and . AmI, volume 6439 of Lecture Notes in Computer Science, page 86-95. Springer, (2010)Constructing Time-Dependent Origin-Destination Matrices With Adaptive Zoning Scheme and Measuring Their Similarities With Taxi Trajectory Data., , , , , , and . IEEE Access, (2019)Mining taxi data for describing city in the context of mobility, sociality, and environment: Lessons learned., , , and . ITSC, page 217-222. IEEE, (2016)Generating the Users Geographic Map Using Mobile Phone Data., , , , and . EPIA, volume 13566 of Lecture Notes in Computer Science, page 297-308. Springer, (2022)A Study on the Suitability of GSM Signatures for Indoor Location., , , and . AmI, volume 4794 of Lecture Notes in Computer Science, page 108-123. Springer, (2007)A tool for exploratory visualization of bus mobility and ridership: a case study of Lisbon, Portugal., , , , and . UbiComp/ISWC Adjunct, page 1117-1121. ACM, (2015)A Case-Based Approach for Indoor Location., , and . ICCBR, volume 3620 of Lecture Notes in Computer Science, page 78-90. Springer, (2005)