Can I read Hybrid Quantum CNN for UWB Classification on EtoBox?

Hybrid Quantum CNN for UWB Classification by Huân Vũ is a document available to read on EtoBox.

What is Hybrid Quantum CNN for UWB Classification about?

This document presents a study on Hybrid Quantum Convolutional Neural Networks (HQCNN) for classifying ultrawideband (UWB) signals, which is essential for improving indoor positioning accuracy in IoT applications. The proposed HQCNN combines classical layers with quantum circuits to enhance training efficiency and classification performance, particularly in distinguishing between line-of-sight (LOS) and non-line-of-sight (NLOS) signals. Simulation results demonstrate that HQCNN outperforms traditional machi

Author

Huân Vũ

Language

EN