Yield Maximization of Flip-Flop Circuits Based on Deep Neural Network and Polyhedral Estimation of Nonlinear Constraints

In this paper, we propose a method based on deep neural networks for the statistical design of flip-flops, taking into account nonlinear performance constraints.Flip-flop design and manufacturing are influenced by random variations in the technological process, making deterministic design approaches inadequate for achieving high yields.The conventi

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Acroangiodermatitis (Pseudo-Kaposi sarcoma)

Acroangiodermatitis or Pseudo-Kaposi sarcoma is a rare angioproliferative entity, related to chronic venous insufficiency or certain other vascular anomalies.It is often associated with chronic venous insufficiency, arteriovenous malformation of Lawn the legs, chronic renal failure treated with dialysis, paralyzed legs and amputation stumps.We here

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