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Hybrid App Service for Managing Five Main Chronic Diseases based on Disease-Data Analysis.

, , , , , , and . BigDAS, page 221-224. ACM, (2015)

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Improvement of Kafka Streaming Using Partition and Multi-Threading in Big Data Environment., , , and . Sensors, 19 (1): 134 (2019)Geometric Snapping for 3D Meshes., and . International Conference on Computational Science, volume 3039 of Lecture Notes in Computer Science, page 90-97. Springer, (2004)Schemes for Modeling Flexible Manufacturing Processes in Big Data Environment., , , , , and . BigDAS, page 242-245. ACM, (2015)Design Strategy for Enhancing Adoption of Manufacturing Big Data System (MBDS) in Korean Small and Medium-Sized Manufacturing Firms (SMMFs)., , , , and . BigDAS, page 184-188. ACM, (2015)Abnormal Detection and Classification in i-Ceramic Images., , , and . BigComp, page 17-18. IEEE, (2020)Business driving force models for big data environment., , and . BigComp, page 281-284. IEEE Computer Society, (2016)Efficient Algorithms for Computing a Complete Visibility Region in Three-Dimensional Space., , , and . Algorithmica, 20 (2): 201-225 (1998)Composite Endoscope Images from Massive Inner Intestine Photos., , , , and . IEA/AIE, volume 4570 of Lecture Notes in Computer Science, page 1042-1051. Springer, (2007)A tool breakage detection system using load signals of spindle motors in CNC machines., , , and . ICUFN, page 160-163. IEEE, (2016)Extracting Sensing Data from PLCs in Smart Manufacturing Machines., , , , and . iThings/GreenCom/CPSCom/SmartData, page 1249-1250. IEEE, (2019)