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A Model-Based-Random-Forest Framework for Predicting Vt Mean and Variance Based on Parallel Id Measurement.

, , , , , , , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 37 (10): 2139-2151 (2018)

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Methodology of Generating Timing-Slack-Based Cell-Aware Tests., , , , , , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 41 (11): 5057-5070 (2022)Predicting Vt variation and static IR drop of ring oscillators using model-fitting techniques., , , , , , , and . ASP-DAC, page 426-431. IEEE, (2017)Methodology of Generating Timing-Slack-Based Cell-Aware Tests., , , , , , , , and . ITC, page 1-10. IEEE, (2019)Methodology of generating dual-cell-aware tests., , , , , , , and . VTS, page 1-6. IEEE Computer Society, (2017)Fault Pattern Oriented Defect Diagnosis for Memories., , , , , , , and . ITC, page 29-38. IEEE Computer Society, (2003)FAME: A Fault-Pattern Based Memory Failure Analysis Framework., , , , , and . ICCAD, page 595-598. IEEE Computer Society / ACM, (2003)CNN-based Stochastic Regression for IDDQ Outlier Identification., , , , , , , , , and 1 other author(s). VTS, page 1-6. IEEE, (2020)Predicting Vt mean and variance from parallel Id measurement with model-fitting technique., , , , , , , , , and . VTS, page 1-6. IEEE Computer Society, (2016)Identifying Good-Dice-in-Bad-Neighborhoods Using Artificial Neural Networks., , , , , , , , , and . VTS, page 1-7. IEEE, (2021)Layout-Based Dual-Cell-Aware Tests., , , , , , , , , and . VTS, page 1-6. IEEE, (2019)