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Scenario Based Run-Time Switching for Adaptive CNN-Based Applications at the Edge.

, , , and . ACM Trans. Embed. Comput. Syst., 21 (2): 14:1-14:33 (2022)

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Scenario Based Run-Time Switching for Adaptive CNN-Based Applications at the Edge., , , and . ACM Trans. Embed. Comput. Syst., 21 (2): 14:1-14:33 (2022)Designing convolutional neural networks with constrained evolutionary piecemeal training., and . Appl. Intell., 52 (15): 17103-17117 (2022)Exploring Multi-core Systems with Lifetime Reliability and Power Consumption Trade-offs., and . SAMOS, volume 14385 of Lecture Notes in Computer Science, page 72-87. Springer, (2023)CPU-GPU Layer-Switched Low Latency CNN Inference., , , and . DSD, page 324-331. IEEE, (2022)PELSI: Power-Efficient Layer-Switched Inference., , , and . RTCSA, page 12-17. IEEE, (2023)Deep Learning Model Reuse and Composition in Knowledge Centric Networking., and . ICCCN, page 1-11. IEEE, (2020)The Choice of AI Matters: Alternative Machine Learning Approaches for CPS Anomalies., , and . IEA/AIE (2), volume 12799 of Lecture Notes in Computer Science, page 474-484. Springer, (2021)An evolutionary optimization algorithm for gradually saturating objective functions., and . GECCO, page 886-893. ACM, (2020)Architecture-aware design and implementation of CNN algorithms for embedded inference: the ALOHA project., , , , , , , , , and 9 other author(s). ICM, page 52-55. IEEE, (2018)Constrained Evolutionary Piecemeal Training to Design Convolutional Neural Networks., and . IEA/AIE, volume 12144 of Lecture Notes in Computer Science, page 709-721. Springer, (2020)