In this study, we present HLMamba, a hybrid lightweight mamba fusion network that integrates a CNN-based encoder with mamba-based fusion modules and a mamba-based decoder.

This study presents an advanced encoder-decoder dual attention convolutional long short-term memory (ConvLSTM) model designed to predict sea surface temperatures (SSTs) along the Moroccan coastline, a ...

There can be lots of challenges in the signal quality due to reverberation noise. This noise badly effects the signal to noise ratio and sound quality. This research article proposes a convolutional ...

Three modules, namely GMM, GFFRM and MFIM, are embedded in U-shaped encoder-decoder architecture to establish a novel RDH predictor GURNet. Extensive experiments implemented on four publicly available ...

A new technical paper titled “Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems” was published by researchers at National ...