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Exploiting Inherent Error Resiliency of Deep Neural Networks to Achieve Extreme Energy Efficiency Through Mixed-Signal Neurons.

, , , , , and . IEEE Trans. Very Large Scale Integr. Syst., 27 (6): 1365-1377 (2019)

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Secure Human-Internet using dynamic Human Body Communication., , , and . ISLPED, page 1-6. IEEE, (2017)A MedRadio Receiver Front-End With Wide Energy-Quality Scalability Through Circuit and Architecture-Level Reconfigurations., , , and . IEEE J. Emerg. Sel. Topics Circuits Syst., 8 (3): 369-378 (2018)RF-PUF: Enhancing IoT Security Through Authentication of Wireless Nodes Using In-Situ Machine Learning., , , and . IEEE Internet of Things Journal, 6 (1): 388-398 (2019)EQS Res-HBC: A 65-nm Electro-Quasistatic Resonant 5-240 μW Human Whole-Body Powering and 2.19 μW Communication SoC With Automatic Maximum Resonant Power Tracking., , , , , , and . IEEE J. Solid State Circuits, 57 (3): 831-844 (2022)Inter-Body Coupling in Electro-Quasistatic Human Body Communication: Theory and Analysis of Security and Interference Properties., , , , and . CoRR, (2020)A Simple Flood Forecasting Scheme Using Wireless Sensor Networks, , , , , and . CoRR, (2012)Adaptive interference rejection in Human Body Communication using variable duty cycle integrating DDR receiver., , and . DATE, page 1763-1768. IEEE, (2017)Characterization and Classification of Human Body Channel as a function of Excitation and Termination Modalities., , , and . EMBC, page 3754-3757. IEEE, (2018)An Energy-Efficient Mixed-Signal Neuron for Inherently Error-Resilient Neuromorphic Systems., , , , and . ICRC, page 1-2. IEEE, (2017)Exploiting Inherent Error Resiliency of Deep Neural Networks to Achieve Extreme Energy Efficiency Through Mixed-Signal Neurons., , , , , and . IEEE Trans. Very Large Scale Integr. Syst., 27 (6): 1365-1377 (2019)