AI-Driven Control Strategy for Differential Drive Wheeled Mobile Robots: Neural Network-Based Parameter Optimization and Real-Time Stabilization for Discretized Path Tracking.

Universal noise model for superconducting quantum chips achieving 5.2-19.5× accuracy improvement over traditional methods through cross-platform parameter optimization.

A sophisticated PDF document analysis and question-answering application that leverages advanced AI models to provide detailed responses to user queries about PDF documents.

This repository contains the modules implementing a Machine Learning-based solution for optimizing the execution of dislib algorithms. In particular, a stacked classification model is leveraged to predict the most suitable value of the block-size parameter for the execution of dislib algorithms.