Abstract: This paper presents a novel methodology to address multi-output regression problems through the incorporation of deep-neural networks and gradient boosting. The proposed approach involves ...

This repository contains the implementation, benchmarks, and supporting tools for my MSc dissertation project: Self-learning Variational Autoencoder for EEG Artifact Removal (Key code only). Benchmark ...

A comprehensive MATLAB/Simulink implementation of a Doubly-Fed Induction Generator (DFIG) wind power system with integrated energy storage, featuring advanced control strategies, professional GUI ...

When you’re working on a challenging academic project or a business proposal that necessitates in-depth insights fast, Copilot has your back. The new Copilot Deep Research feature acts as your ...

Abstract: The application of deep learning techniques to full waveform inversion (FWI) theory represents a significant research direction. Leveraging the nonlinear representations offered by deep ...