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Aggregating inter-app traffic to optimize cellular radio energy consumption on smartphones., , , , and . COMSNETS, page 1-8. IEEE, (2015)Quality of IT service delivery - Analysis and framework for human error prevention., , , , , , , , , and . SOCA, page 1-8. IEEE Computer Society, (2010)Prediction of quality degradation for mobile video streaming apps: A case study using YouTube., , , , , and . COMSNETS, page 1-2. IEEE, (2016)Next Generation Business Intelligence and Analytics: A Survey., , , , , and . CoRR, (2017)Data Path Processing in Fast Programmable Routers. CoRR, (2004)Exploiting Diversity in Android TLS Implementations for Mobile App Traffic Classification., , , and . WWW, page 1657-1668. ACM, (2019)3B-ARA: Bandwidth, Buffer, and Battery Aware Rate Adaptation for Dynamic HTTP Streaming., , , and . IEEE Communications Letters, 22 (5): 962-965 (2018)TapSense: combining self-report patterns and typing characteristics for smartphone based emotion detection., , , and . MobileHCI, page 2:1-2:12. ACM, (2017)Candid with YouTube: Adaptive Streaming Behavior and Implications on Data Consumption., , , , , , , and . NOSSDAV, page 19-24. ACM, (2017)Computation Offloading from Mobile Devices: Can Edge Devices Perform Better Than the Cloud?, and . ARMS-CC@PODC, page 1-6. ACM, (2016)