IEEE

A Dual Autoencoder Approach Using Trainable Encoding Circuits for Optimizing Quantum Neural Networks

Abstract: This research presents a Dual Quantum-Traditional Auto encoder network designed for near-term quantum processors. This Dual AE consists of a variational Auto encoder and decoder network ...
IEEE

Transformer Encoder Model for Sequential Prediction of Student Performance Based on Their Log Activities

Abstract: Learning management systems (LMSs) have been used massively due to the growing utilization of distance learning. This advancement has led to increased educational data that can be analyzed ...