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Approximate Computing in Critical Applications: ECG Arrhythmia Classification.

, , , , and . MOCAST, page 1-4. IEEE, (2023)

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A fair comparison of adders in stochastic regime., , , and . PATMOS, page 1-6. IEEE, (2017)Combination of Task Allocation and Approximate Computing for Fog-Architecture-Based IoT., , , and . IEEE Internet Things J., 8 (9): 7638-7648 (2021)FLINT+: A Runtime-Configurable Emulation-Based Stochastic Timing Analysis Framework, , , , , and . International Symposium on Power and Timing Modeling, Optimization and Simulation (PATMOS), IEEE, (2017)A Fair Comparison of Adders in Stochastic Regime, , , and . International Symposium on Power and Timing Modeling, Optimization and Simulation (PATMOS), IEEE, (2017)Approximate Computing in Critical Applications: ECG Arrhythmia Classification., , , , and . MOCAST, page 1-4. IEEE, (2023)Stochastic Wave-Pipelined On-Chip Interconnect., , and . IEEE Trans. Circuits Syst. II Express Briefs, 67-II (5): 841-845 (2020)Systematic Design of an Approximate Adder: The Optimized Lower Part Constant-OR Adder., , and . IEEE Trans. Very Large Scale Integr. Syst., 26 (8): 1595-1599 (2018)Coherent Design of Hybrid Approximate Adders: Unified Design Framework and Metrics, , , and . IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 8 (4): 736-745 (2018)Exploiting Neural-Network Statistics for Low-Power DNN Inference., , and . CoRR, (2023)CNN Sensor Analytics With Hybrid-Float6 Quantization on Low-Power Embedded FPGAs., , , , , , , and . IEEE Access, (2023)