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Resembling Population Density Distribution with Massive Mobile Phone Data., , and . Data Sci. J., (2018)Knowledge-Based Learning for Solving Vehicle Routing Problem., , , and . UbiComp/ISWC Adjunct, page 1103-1111. ACM, (2018)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)Object vs Pixel-based Flood/Drought Detection in Paddy Fields using Deep Learning., , and . IIAI-AAI, page 455-460. IEEE, (2022)Kinetic Façade Design with Eshelby Twist for Sunlight Exposure Reduction., , , , and . CW, page 8-15. IEEE, (2022)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)Performance comparisons of spatial data processing techniques for a large scale mobile phone dataset., , and . COM.Geo, page 25. ACM, (2012)Anomalous event detection on large-scale GPS data from mobile phones using hidden markov model and cloud platform., , , and . UbiComp (Adjunct Publication), page 1219-1228. ACM, (2013)Large Scale Mobility Analysis: Extracting Significant Places Using Hadoop/Hive and Spatial Processing., , , and . KICSS, volume 685 of Advances in Intelligent Systems and Computing, page 205-219. Springer, (2015)Understanding User Attributes from Calling Behavior: Exploring Call Detail Records through Field Observations., , , , , and . MoMM, page 95-104. ACM, (2014)