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A Comparative Study of Si/Ge and GaSb/InAs Tunnel FET-Based Cellular Neural Network.

, and . ISVLSI, page 685-690. IEEE Computer Society, (2016)

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Low Power Spatial Localization of Mobile Sensors with Recurrent Neural Network., and . ICCD, page 297-300. IEEE Computer Society, (2017)Low Power Speaker Identification using Look Up-free Gaussian Mixture Model in CMOS., , , , and . COOL CHIPS, page 1-3. IEEE, (2019)Gate/source-overlapped heterojunction Tunnel FET-based LAMSTAR neural network and its Application to EEG Signal Classification., and . IJCNN, page 955-962. IEEE, (2016)Ultra-low power electronics with Si/Ge tunnel FET., , and . DATE, page 1-6. European Design and Automation Association, (2014)Low Power Unsupervised Anomaly Detection by Non-Parametric Modeling of Sensor Statistics., , , , and . CoRR, (2020)Supported-BinaryNet: Bitcell Array-Based Weight Supports for Dynamic Accuracy-Energy Trade-Offs in SRAM-Based Binarized Neural Network., , , and . ISCAS, page 1-5. IEEE, (2020)STARNet: Sensor Trustworthiness and Anomaly Recognition via Lightweight Likelihood Regret for Robust Edge Autonomy., , , , , , and . IJCNN, page 1-8. IEEE, (2024)Non-parametric Statistical Density Function Synthesizer and Monte Carlo Sampler in CMOS., , , and . VLSID, page 19-24. IEEE, (2020)TimeFloats: Train-in-Memory with Time-Domain Floating-Point Scalar Products., , , , and . CoRR, (2024)Non van-Neumann Anomaly Detection in Multi-Channel Time-Series using Charge Trap Transistor Crossbars., , and . ISCAS, page 1457-1461. IEEE, (2022)