Recurrent neural networks (RNNs) provide state-of-the-art performance in processing sequential data but are memory intensive to train, limiting the flexibility
of RNN models which can be trained. Reversible RNNs—RNNs for which the
hidden-to-hidden
Reversible Conduction Block in Isolated Toad Sciatic Nerve by Emulsified Isoflurane，李茁，杨静，Background: Studies have shown that the local use of volatile anesthetics can produce some local anesthetic effects. The present study was designed to evaluate
Metasurface analogue of the phenomenon of electromagnetically induced transparency (EIT) that is originally observed in atomic gases offers diverse applications for new photonic components such as nonlinear optical units, slow-light devices, and bios
Techniques of reversible circuits can be used in low-power microchips and quantum communications. Current most works focuses on synthesis of reversible circuits but seldom for fault testing which is sure to be an important step in any robust implemen
Recently, various efficient reversible data-hiding schemes based on pixel value ordering have been proposed for embedding messages into high-fidelity images. In these schemes, after dividing the cover image into equal-sized blocks, the pixels within
