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Anomaly Prediction Based on k-Means Clustering for Memory-Constrained Embedded Devices., , and . ICMLA, page 26-33. IEEE, (2017)LET Paradigm Scheduling Algorithm Considering Parallel Processing on Clustered Many-core Processor., , and . J. Inf. Process., (2022)Anomaly Prediction Based on Machine Learning for Memory-Constrained Devices., , and . IEICE Trans. Inf. Syst., 102-D (9): 1797-1807 (2019)Exploring the performance of ROS2., , and . EMSOFT, page 5:1-5:10. ACM, (2016)Deadline Miss Early Detection Method for Mixed Timer-Driven and Event-Driven DAG Tasks., and . IEEE Access, (2023)Autoware_Perf: A tracing and performance analysis framework for ROS 2 applications., , and . J. Syst. Archit., (2022)HRMP3+TECS: Component Framework for Multiprocessor Real-time Operating System with Memory Protection., , , and . ISORC, page 86-96. IEEE, (2023)IDF-Autoware: Integrated Development Framework for ROS-Based Self-Driving Systems Using MATLAB/Simulink., , , and . ASD@DATE, volume 68 of OASIcs, page 3:1-3:9. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2019)Autoware on board: enabling autonomous vehicles with embedded systems., , , , , , , , , and . ICCPS, page 287-296. IEEE Computer Society / ACM, (2018)Exploring the Performance of Deep Neural Networks on Embedded Many-Core Processors., and . ICCPS, page 193-202. IEEE, (2022)