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Power behavior analysis of mobile applications using Bugu., , and . Sustain. Comput. Informatics Syst., 4 (3): 183-195 (2014)Fine-grained power management using process-level profiling., , and . Sustain. Comput. Informatics Syst., 2 (1): 33-42 (2012)Efficient one-off clustering for personalized federated learning., , , , , and . Knowl. Based Syst., (October 2023)A Novel Hybrid Collaborative Filtering Approach to Recommendation Using Reviews: The Product Attribute Perspective (S)., , , and . SEKE, page 7-10. KSI Research Inc. and Knowledge Systems Institute Graduate School, (2018)HFSA: A Semi-Asynchronous Hierarchical Federated Recommendation System in Smart City., , , and . IEEE Internet Things J., 10 (21): 18808-18820 (November 2023)TMO: Time Domain Outsourcing Attribute-Based Encryption Scheme for Data Acquisition in Edge Computing., , , , , and . IEEE Access, (2019)Mobile app recommendation via heterogeneous graph neural network in edge computing., , , , , , and . Appl. Soft Comput., (2021)A Survey on Edge Computing Systems and Tools., , , , , and . Proc. IEEE, 107 (8): 1537-1562 (2019)Syntax-based metamorphic relation prediction via the bagging framework., , , , and . Expert Syst. J. Knowl. Eng., (2022)ACM HotMobile 2013 poster: Bugu: an application level power profiler and analyzer for mobile devices., , and . ACM SIGMOBILE Mob. Comput. Commun. Rev., 17 (3): 27-28 (2013)