A class of mixed-order \emph{PDE}-constraint regularizer for image processing problem is proposed, generalizing the standard first order total variation $(TV)$. semi-supervised (bilevel) training scheme, which provides a simultaneous optimization with respect to parameters and new regularizers, studied. Also, finite approximation method, used solve global solutions such introduced analyzed.

In this study, we analyze the impact of drain current ( $$ I_{{{\text{DS}}}} $$ ) variation in 28 nm high-K metal-gate and 22 fully-depleted silicon-on-insulator Ferroelectric FET devices on processing-in-memory (PIM) deep neural network (DNN) accelerators. When performing repeated read operations several at various frequencies under biasing programming conditions, non-Normal is observed. Dev...

Working memory is considered a well-established predictor of individual variation in reading comprehension in children and adults. However, how storage and processing capacities of working memory in both the phonological and semantic domain relate to reading comprehension is still unclear. In the current study, we investigated the contribution of phonological and semantic storage, and phonologi...