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DeepWind: An Accurate Wind Turbine Condition Monitoring Framework via Deep Learning on Embedded Platforms.

, , , , , , , , and . ETFA, page 1431-1434. IEEE, (2020)

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Robustness Analysis of Controllable-Polarity Silicon Nanowire Devices and Circuits.. EPFL, Switzerland, (2016)Fast process variation analysis in nano-scaled technologies using column-wise sparse parameter selection., , , and . NANOARCH, page 163-168. IEEE Computer Society/ACM, (2014)A Hybrid Synthesis Methodology for Approximate Circuits., , and . ACM Great Lakes Symposium on VLSI, page 421-426. ACM, (2020)Efficient Statistical Parameter Selection for Nonlinear Modeling of Process/Performance Variation., , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 35 (12): 1995-2007 (2016)An MCTS-based Framework for Synthesis of Approximate Circuits., , and . VLSI-SoC, page 219-224. IEEE, (2018)Sub-threshold charge recovery circuits., , and . ICCD, page 138-144. IEEE Computer Society, (2010)A fast TCAD-based methodology for Variation analysis of emerging nano-devices., , , and . DFTS, page 83-88. IEEE Computer Society, (2013)FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics., , , , , , , , and . PKDD/ECML Workshops (1), volume 1524 of Communications in Computer and Information Science, page 351-362. Springer, (2021)DeepWind: An Accurate Wind Turbine Condition Monitoring Framework via Deep Learning on Embedded Platforms., , , , , , , , and . ETFA, page 1431-1434. IEEE, (2020)A Fault-Tolerant Ripple-Carry Adder with Controllable-Polarity Transistors., , , , , and . ACM J. Emerg. Technol. Comput. Syst., 13 (2): 16:1-16:13 (2016)