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A 104-dB Dynamic Range Transimpedance-Based CMOS ASIC for Tuning Fork Microgyroscopes.

, , and . IEEE J. Solid State Circuits, 42 (8): 1790-1802 (2007)

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A 0.2°/hr Micro-Gyroscope with Automatic CMOS Mode Matching., , and . ISSCC, page 386-610. IEEE, (2007)A predictive methodology for accurate substrate parasitic extraction., , , , , and . ISCAS (5), page 149-152. IEEE, (2004)Enabling the Electric Future of Mobility: Robotic Automation for Electric Vehicle Battery Assembly., , and . IEEE Access, (2019)A 104dB SNDR Transimpedance-based CMOS ASIC for Tuning Fork Microgyroscopes., , and . CICC, page 655-658. IEEE, (2006)The interpretive model of manufacturing: a theoretical framework and research agenda for machine learning in manufacturing., , and . Int. J. Prod. Res., 59 (16): 4960-4994 (2021)Digital twin design and analytics for scaling up electric vehicle battery production using robots., and . Int. J. Prod. Res., 61 (24): 8512-8546 (December 2023)About the ISM Special Issue: The Business Value of Data Analytics., , and . Inf. Syst. Manag., 38 (3): 183-184 (2021)Accurate Prediction of Substrate Parasitics in Heavily Doped CMOS Processes Using a Calibrated Boundary Element Solver., , , , , and . IEEE Trans. Very Large Scale Integr. Syst., 13 (7): 843-851 (2005)Making electric vehicle batteries safer through better inspection using artificial intelligence and cobots.. Int. J. Prod. Res., 62 (4): 1277-1296 (February 2024)Drive Through Robotics: Robotic Automation for Last Mile Distribution of Food and Essentials During Pandemics., , and . IEEE Access, (2020)