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A guidance framework for synthesis of multi-core reconfigurable real-time systems., , , , , and . Inf. Sci., (2020)A reinforcement learning-based approach for online optimal control of self-adaptive real-time systems., , and . Neural Comput. Appl., 35 (27): 20375-20401 (September 2023)PSRL: A New Method for Real-Time Task Placement and Scheduling Using Reinforcement Learning., , and . SEKE, page 554-559. KSI Research Inc., (2023)Multiobjective Optimization Approach for a Portable Development of Reconfigurable Real-Time Systems: From Specification to Implementation., , , , , and . IEEE Trans. Syst. Man Cybern. Syst., 49 (3): 623-637 (2019)On the Use of Reinforcement Learning for Real-Time System Design and Refactoring., , and . ISDA (3), volume 716 of Lecture Notes in Networks and Systems, page 503-512. Springer, (2022)From real-time design model to RTOS-specific models: a model-driven methodology., , , and . Int. J. Embed. Syst., 11 (6): 738-754 (2019)Use of Compiler Intermediate Representation for Reverse Engineering: A Case Study for GCC Compiler and UML Activity Diagram., , and . MODELSWARD, page 211-218. SCITEPRESS, (2022)A Multi-objective Evolution Strategy for Real-Time Task Placement on Heterogeneous Processors., and . ISDA (3), volume 716 of Lecture Notes in Networks and Systems, page 448-457. Springer, (2022)Portable Synthesis of Multi-core Real-Time Systems with Reconfiguration Constraints., , , and . ENASE (Selected Papers), volume 1023 of Communications in Computer and Information Science, page 165-185. Springer, (2018)Research Landscape of Patterns in Software Engineering: Taxonomy, State-of-the-Art, and Future Directions., , and . SN Comput. Sci., 5 (4): 411 (April 2024)