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Classifying urban events' popularity by analyzing friends information in location-based social network., , , , , , and . Urb-IoT, page 87-89. ICST, (2014)City Happenings into Wikipedia Category: Classifying Urban Events by Combining Analyses of Location-based Social Networks and Wikipedia., , , , , , and . Urb-IoT, page 47-52. ACM, (2016)Deep learning-based water-intake estimation method using second half of swallowing sound., , , , , , and . GCCE, page 1-2. IEEE, (2017)A 667-Mb/s operating digital DLL architecture for 512-Mb DDR SDRAM., , , , , , , and . IEEE J. Solid State Circuits, 39 (1): 194-206 (2004)Taxi Demand Forecast Using Real-Time Population Generated from Cellular Networks., , and . UbiComp/ISWC Adjunct, page 1024-1032. ACM, (2018)Bike-Share Demand Prediction using Attention based Sequence to Sequence and Conditional Variational AutoEncoder., , , and . PredictGIS@SIGSPATIAL, page 41-44. ACM, (2019)A Deep-Learning-Based Method of Estimating Water Intake., , , , , , and . COMPSAC (2), page 96-101. IEEE Computer Society, (2017)978-1-5386-0367-3.A 0.18-μm 256-Mb DDR-SDRAM with low-cost post-mold tuning method for DLL replica., , , , , , , , , and 9 other author(s). IEEE J. Solid State Circuits, 35 (11): 1680-1689 (2000)Efficient Anomaly Detection System for Mobile Handsets., , , , , , and . SECURWARE, page 154-160. IEEE Computer Society, (2008)