Towards the application of machine learning in digital twin technology: a multi-scale review

L Nele, G Mattera, EW Yap, M Vozza… - Discover Applied …, 2024 - Springer
This review article delves into the conceptual framework of digital twins and their diverse
applications across research domains, highlighting the pivotal role of machine learning in …

Optimal data-driven control of manufacturing processes using reinforcement learning: an application to wire arc additive manufacturing

G Mattera, A Caggiano, L Nele - Journal of Intelligent Manufacturing, 2024 - Springer
Nowadays, artificial intelligence (AI) has become a crucial Key Enabling Technology with
extensive application in diverse industrial sectors. Recently, considerable focus has been …

Frequency informed convolutional autoencoder for in situ anomaly detection in wire arc additive manufacturing

G Mattera, M Vozza, J Polden, L Nele, Z Pan - Journal of Intelligent …, 2024 - Springer
In the context of Industry 4.0, the importance of anomaly detection is growing, particularly in
Additive Manufacturing, as it allows for the detection and localization of defects, thereby …

Integrating high-performance computing, machine learning, data management workflows, and infrastructures for multiscale simulations and nanomaterials …

F Le Piane, M Vozza, M Baldoni… - Beilstein Journal of …, 2024 - beilstein-journals.org
This perspective article explores the convergence of advanced digital technologies,
including high-performance computing (HPC), artificial intelligence, machine learning, and …

AI-driven innovations in automation and urban management

K Yao - Applied and Computational Engineering, 2024 - ewadirect.com
This paper examines the transformative impact of Artificial Intelligence (AI) across diverse
sectors, particularly focusing on industrial automation, smart homes, and intelligent cities. It …

[PDF][PDF] Discover Applied Sciences

L Nele, G Mattera, EW Yap, M Vozza, S Vespoli - Discover, 2024 - iris.unina.it
This review article delves into the conceptual framework of digital twins and their diverse
applications across research domains, highlighting the pivotal role of machine learning in …