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Random Additive Control Flow Error Detection., , , and . SAFECOMP, volume 11093 of Lecture Notes in Computer Science, page 220-234. Springer, (2018)Framework to Evaluate Deep Learning Algorithms for Edge Inference and Training., , , , and . PKDD/ECML Workshops (1), volume 1752 of Communications in Computer and Information Science, page 569-581. Springer, (2022)Writing Parallel Embedded Software Effectively., , , , and . PDP, page 474-477. IEEE Computer Society, (2014)CDFEDT: Comparison of Data Flow Error Detection Techniques in Embedded Systems: an Empirical Study., , , , and . ARES, page 23:1-23:9. ACM, (2018)Selective Duplication and Selective Comparison for Data Flow Error Detection., , , and . ICSRS, page 10-15. IEEE, (2019)(POSTER) Unsupervised and Condition Invariant Anomaly Detection for The Constrained Edge., , , , and . DCOSS-IoT, page 77-79. IEEE, (2023)Using Hardware-In-Loop-Based Fault Injection to Determine the Effects of Control Flow Errors in Industrial Control Programs., , and . SAFECOMP, volume 12234 of Lecture Notes in Computer Science, page 405-418. Springer, (2020)Challenges in the Co-assurance of Functional Safety and Cybersecurity in Industry 4.0., , and . ICSRS, page 418-423. IEEE, (2022)Simulation for Trade-off between Interference and Performance in a Bluetooth Low Energy Network., , , , , and . TrustCom, page 2488-2494. IEEE, (2023)Modeling the Trade-off between Throughput and Reliability in a Bluetooth Low Energy Connection., , , and . EWSN, page 32-39. ACM, (2023)