IEEE

Fast Robust Sparse Bayesian Learning Image Reconstruction Model Based on Generalized Approximate Message Passing

Abstract: Sparse Bayesian learning (SBL) is an algorithm for high-dimensional data processing based on Bayesian statistical theory. Its goal is to improve the generalization ability and efficiency of ...
IEEE

Tuning a Generalized Model Predictive Controller for a Boost Converter in a PV System Employing a Genetic Algorithm in an IoT Environment

Abstract: This paper proposes an intelligent tuning framework for a boost converter connected to a photovoltaic (PV) system using a generalized Model Predictive Control (MPC) strategy integrated with ...
GitHub

boosting-additive-models

This study proposes a diverse family of additive models that extend Generalized Additive Models (GAMs) to achieve both interpretability and predictive performance in forecasting. While preserving the ...
GitHub

WAAM Control System & Digital Twin

A custom, closed-loop software architecture designed for Wire Arc Additive Manufacturing (WAAM). This system acts as a specialized slicer, G-code generator, and real-time machine controller for ...