Abstract: This paper presents an innovative approach to enhancing resource utilization and model accuracy in decentralized federated learning (DFL) environments. We introduce a decentralized ...

Given the rapidly evolving landscape of Artificial Intelligence, one of the biggest hurdles tech leaders often come across is ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

Abstract: Deep reinforcement learning (DRL) methods have been applied to power system problems in active distribution networks, including the inverter-based volt/var control (VVC). However, existing ...

A comprehensive, professional-grade machine learning project demonstrating the complete CRISP-DM methodology. This repository contains a fully reproducible, production-ready pipeline for multi-class ...

A comprehensive machine learning solution for predicting productivity in garment manufacturing facilities using historical production data. This project enables factory managers to optimize resource ...