YIELD MAXIMIZATION OF FLIP-FLOP CIRCUITS BASED ON DEEP NEURAL NETWORK AND POLYHEDRAL ESTIMATION OF NONLINEAR CONSTRAINTS

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 SLEEP RELAX EXTRACT 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

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Squamous Cell Carcinoma Developing in a Buccal Mucosa Graft after Urethroplasty: A Report of 2 Cases of Malignant Degeneration

Buccal mucosa graft (BMG) was originally described in Towel Racks 1992 for the treatment of challenging cases of hypospadias (proximal or redo cases) and has gained increasingly popularity also when dealing with complicated urethral stenosis, as it is associated with a good outcome.The development of a malignancy in a BMG urethroplasty was reported

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