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Improving Mean Time to Failure of IoT Networks with Reliability-Aware Routing.

, , , and . MECO, page 1-4. IEEE, (2021)

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Performance and energy efficient cache migrationapproach for thermal management in embedded systems., and . ACM Great Lakes Symposium on VLSI, page 365-368. ACM, (2010)Sampling-based explicit nonlinear model predictive control for output tracking., , , , and . CDC, page 4722-4727. IEEE, (2016)Towards platform level power management in mobile systems., , , , and . SoCC, page 146-151. IEEE, (2014)A control-theoretic approach for energy efficient CPU-GPU subsystem in mobile platforms., , , and . DAC, page 62:1-62:6. ACM, (2015)RelIoT: Reliability Simulator for IoT Networks., , , , , , and . ICIOT, volume 12405 of Lecture Notes in Computer Science, page 63-81. Springer, (2020)User-aware Frame Rate Management in Android Smartphones, , , , , and . ACM Transactions on Embedded Computing Systems, 16 (5s): 1-17 (September 2017)Performance Analysis of Priority-Aware NoCs with Deflection Routing under Traffic Congestion., , , , and . ICCAD, page 42:1-42:9. IEEE, (2020)Uncertainty-Aware Online Learning for Dynamic Power Management in Large Manycore Systems., , , , and . ISLPED, page 1-6. IEEE, (2023)Improving Mean Time to Failure of IoT Networks with Reliability-Aware Routing., , , and . MECO, page 1-4. IEEE, (2021)On the Benefits of Leveraging Structural Information in Planning Over the Learned Model., , , , and . ACC, page 4555-4560. IEEE, (2023)