IEEE

Modeling of Stochastic Conductance Fluctuations in RRAM by a Hybrid LSTM-VAE Framework

Abstract: This paper presents a hybrid LSTM-VAE (Long Short-Term Memory – Variational Autoencoder) framework designed to predict RTN-induced conductance fluctuations in RRAM devices. By integrating ...
IEEE

A Hybrid Deep Learning Framework Combining Convolutional, Transformer, and GRU Models with Mixture of Experts for RNA Sequence Analysis

Abstract: This work proposes a novel hybrid deep learning model that incorporates CNNs, Transformer models, and GRU layers, further extended with an MoE model, for advanced sequence analysis. The ...