IEEE

Performance Evaluation of Neural Network Models for Fuel Cell Power Prediction in Hybrid Electric Vehicles

Abstract: This paper evaluates the performance of different neural network models: Fitting Net, Pattern Recognition Net, and NARX Net (Nonlinear Autoregressive with Exogenous Inputs) in predicting ...
Frontiers

Balancing Accuracy and Efficiency: Co-Design of Hybrid Quantization and Unified Computing Architecture for Spiking Neural Networks

The final, formatted version of the article will be published soon. The deployment of Spiking Neural Networks (SNNs) on resource-constrained edge devices is hindered by a critical algorithm-hardware ...
GitHub

QAMP Project Proposal: Hybrid Quantum-Classical Algorithm for Minimum Steiner Tree Optimization

This project proposes the development and mentorship of a hybrid quantum-classical algorithmic framework to solve the Minimum Steiner Tree problem, a fundamental combinatorial optimization challenge ...
IEEE

Design of Frequency Selective Rasorbers Based on A Hybrid Neural Network Framework

Abstract: This letter presents an intelligent design method for frequency selective rasorbers (FSRs) based on a hybrid neural network framework, significantly reducing learning complexity. First, a ...
GitHub

generative-neural-network

A simulation model for the digital reconstruction of 3D root system architectures. Integrated with a simulation-based inference generative deep learning model.