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Employing traditional machine learning algorithms for big data streams analysis: the case of object trajectory prediction., , , , и . CoRR, (2016)Large-scale evaluation framework for local influence theories in Twitter., , , , и . Inf. Process. Manag., 51 (1): 226-252 (2015)Strand: scalable trilateration with Node.js., , и . J. Cloud Comput., (2019)AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving., , , , , , , , , и 4 other автор(ы). PerCom Workshops, стр. 91-93. IEEE, (2022)Computationally Efficient Rehearsal for Online Continual Learning., , , , и . ICIAP (3), том 13233 из Lecture Notes in Computer Science, стр. 39-49. Springer, (2022)Intelligent Multi-Domain Edge Orchestration for Highly Distributed Immersive Services: An Immersive Virtual Touring Use Case., , , , , , , , и . EDGE, стр. 381-392. IEEE, (2023)Measuring Baseline Overheads in Different Orchestration Mechanisms for Large FaaS Workflows., , , и . ICPE (Companion), стр. 61-68. ACM, (2022)An Automated Pipeline for Advanced Fault Tolerance in Edge Computing Infrastructures., , , и . FRAME@HPDC, стр. 19-24. ACM, (2022)Leveraging User Mobility and Mobile App Services Behavior for Optimal Edge Resource Utilization., , , , и . COINS, стр. 7-12. ACM, (2019)CONSENSUS Project: Identifying Publicly Acceptable Policy Implementations.. EEPM@eGOV, том 1553 из CEUR Workshop Proceedings, CEUR-WS.org, (2015)