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Case study of scan chain diagnosis and PFA on a low yield wafer.

, , , , , and . ITC, page 818. IEEE Computer Society, (2010)

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Improving scan chain diagnostic accuracy using multi-stage artificial neural networks., , , , , , and . ASP-DAC, page 341-346. ACM, (2019)Diagnosis of Intermittent Scan Chain Faults Through a Multistage Neural Network Reasoning Process., , , , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 39 (10): 3044-3055 (2020)A Tight Converse to the Asymptotic Performance of Byzantine Distributed Sequential Change Detection., , and . ISIT, page 2404-2408. IEEE, (2019)On characterizing optimal Wasserstein GAN solutions for non-Gaussian data., , , , , and . ISIT, page 909-914. IEEE, (2023)Flyintel - a Platform for Robot Navigation based on a Brain-Inspired Spiking Neural Network., , , and . AICAS, page 219-220. IEEE, (2019)Adaptive Segmentation Method for Evaluating of Choroidal Thickness on Optical Coherence Tomography., , and . ICDSP, page 61-64. ACM, (2018)Asymptotic Optimality in Byzantine Distributed Quickest Change Detection., , and . CoRR, (2019)On Byzantine Distributed Sequential Change Detection with Multiple Hypotheses., , and . ISIT, page 2209-2213. IEEE, (2019)A study on multiple wearable sensors for activity recognition., , , , and . DSC, page 449-452. IEEE, (2017)Asymptotic Optimality in Byzantine Distributed Quickest Change Detection., , and . IEEE Trans. Inf. Theory, 67 (9): 5942-5962 (2021)