Student name: Rui Fernandes

RUN-EU institution: Technological University of the Shannon: Midlands Midwest, Ireland

Abstract

In recent years the industry has advanced significantly due to enhanced connectivity and increased data collection via sensors and media. This abundance of data enables process optimisation, risk reduction, and more precise future impact predictions. However, transforming this information into knowledge necessitates AI-driven decision support systems, particularly in Machine Learning. Reinforcement Learning (RL), increasingly favoured over supervised models, allows systems to adapt and make decisions autonomously, showing substantial potential [1]. This research aims to develop AI systems, in a collaborative environment, using RL to improve several industrial processes, such as manufacturing efficiency, environmental impact reduction, predictive maintenance, productivity and information security.

References

[1] Railkar, D. (2022). A study on vulnerability scanning tools for network security. International Journal of Scientific Research in Computer Science Engineering and Information Technology, 8, 340. https://doi.org/10.32628/CSEITCN228641.