Affiliation:
1. Departamento de Sistemas Informáticos Universidad Politécnica de Madrid Madrid Spain
Abstract
AbstractThis editorial summarizes and analyzes 17 articles selected for a special issue on machine learning advances for Industry 4.0 applications. The diverse articles cover fault detection, deep learning optimisation, IoT networking, vehicle control, recommendation systems and domain knowledge integration. Key methods represented include neural networks, deep learning, reinforcement learning and explainable AI. Real‐world industrial case studies showcase machine learning's versatility in enabling intelligent automation, control, and decision‐making across manufacturing, healthcare, transportation and other sectors. While highlighting theoretical innovations, the contributions also demonstrate machine learning's transformative potential for intelligent, connected, self‐optimising next generation production systems. This editorial concisely overviews the latest trends represented in this special issue.
Funder
Agencia Estatal de Investigación
Ministerio de Ciencia e Innovación
Comunidad de Madrid
Subject
Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering