A predictive maintenance system for integral type faults based on support vector machines: An application to ion implantation. - Gian Antonio Susto; Andrea Schirru; Simone Pampuri; Daniele Pagano; Seán F. McLoone; Alessandro Beghi (CASE, 2013)

Prediction of integral type failures in semiconductor manufacturing through classification methods. - Gian Antonio Susto; Seán F. McLoone; Daniele Pagano; Andrea Schirru; Simone Pampuri; Alessandro Beghi (ETFA, 2013)

Modeling Multivariate Relations in Multiblock Semiconductor Manufacturing Data Using Process PLS To Enhance Process Understanding. - Geert H. van Kollenburg; Richard Verhoeven; Mike Holenderski; Nirvana Meratnia; Daniele Pagano (WSC, 2023)

Predictive Maintenance of Pins in the ECD Equipment for Cu Deposition in the Semiconductor Industry. - Umberto Amato; Anestis Antoniadis; Italia De Feis; Domenico Fazio; Caterina Genua; Irène Gijbels; Donatella Granata; Antonino La Magna; Daniele Pagano; Gabriele Tochino; Patrizia Vasquez (Sensors, 2023)

Comparing dispatching rules for minimizing the total weighted tardiness in the cleaning-diffusion manufacturing stage. - Roberto Rosario Corsini; Antonio Costa 001; Giuseppe Oriti; Sergio Fichera; Daniele Vinciguerra; Marco Stefano Scroppo; Daniele Pagano (CASE, 2024)

An AI-Enabled Framework for Smart Semiconductor Manufacturing. - Khaled Sidahmed Sidahmed Alamin; Davide Appello; Alessandro Beghi; Nicola Dall'Ora; Fabio Depaoli; Santa Di Cataldo; Franco Fummi; Sebastiano Gaiardelli; Michele Lora; Enrico Macii; Alessio Mascolini; Daniele Pagano; et al. (DATE, 2024)

A new composite heuristic to minimize the total tardiness for the single machine scheduling problem with variable and flexible maintenance. - Antonio Costa 001; Roberto Rosario Corsini; Daniele Pagano; Victor Fernandez-Viagas (Comput. Oper. Res., 2025)