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Understanding User Attributes from Calling Behavior: Exploring Call Detail Records through Field Observations.

, , , , , and . MoMM, page 95-104. ACM, (2014)

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Sensing Urban Density Using Mobile Phone GPS Locations: A Case Study of Odaiba Area, Japan., , and . ICTCC, volume 144 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 146-155. Springer, (2014)Object vs Pixel-based Flood/Drought Detection in Paddy Fields using Deep Learning., , and . IIAI-AAI, page 455-460. IEEE, (2022)How does coffee shop get crowded?: using WiFi footprints to deliver insights into the success of promotion., and . UbiComp/ISWC Adjunct, page 421-426. ACM, (2017)Intelligent System for Human Behavior Analysis and Reasoning Following Large-Scale Disasters., , , , , and . IEEE Intell. Syst., 28 (4): 35-42 (2013)Kinetic Façade Design with Eshelby Twist for Sunlight Exposure Reduction., , , , and . CW, page 8-15. IEEE, (2022)Parcel-Level Flood and Drought Detection for Insurance Using Sentinel-2A, Sentinel-1 SAR GRD and Mobile Images., , and . Remote. Sens., 14 (23): 6095 (December 2022)Deep Learning-Based Semantic Segmentation of Urban Features in Satellite Images: A Review and Meta-Analysis., , and . Remote. Sens., 13 (4): 808 (2021)A Hybrid Reinforcement Learning-Based Model for the Vehicle Routing Problem in Transportation Logistics., , , and . IEEE Access, (2021)Analyzing Bangkok city taxi ride: reforming fares for profit sustainability using big data driven model., and . J. Big Data, 8 (1): 7 (2021)Resembling Population Density Distribution with Massive Mobile Phone Data., , and . Data Sci. J., (2018)