Bayesian regression based condition monitoring approach for effective reliability prediction of random processes in autonomous energy supply operation. - Ahmad BahooToroody; Filippo De Carlo; Nicola Paltrinieri; Mario Tucci; Pieter H. A. J. M. van Gelder (Reliab. Eng. Syst. Saf., 2020)

A hierarchical Bayesian regression framework for enabling online reliability estimation and condition-based maintenance through accelerated testing. - Leonardo Leoni; Filippo De Carlo; Mohammad Mahdi Abaei; Ahmad BahooToroody (Comput. Ind., 2022)

Prognostic health management of repairable ship systems through different autonomy degree; From current condition to fully autonomous ship. - Ahmad BahooToroody; Mohammad Mahdi Abaei; Osiris A. Valdez Banda; Pentti Kujala; Filippo De Carlo; Rouzbeh Abbassi (Reliab. Eng. Syst. Saf., 2022)

Failure diagnosis of a compressor subjected to surge events: A data-driven framework. - Leonardo Leoni; Filippo De Carlo; Mohammad Mahdi Abaei; Ahmad BahooToroody; Mario Tucci (Reliab. Eng. Syst. Saf., 2023)

Application of machine learning techniques for cost estimation of engineer to order products. - Mario Rapaccini; Veronica Loew Cadonna; Leonardo Leoni; Filippo De Carlo (Int. J. Prod. Res., 2023)

A decision support system for configuring spare parts supply chains considering different manufacturing technologies. - Alessandra Cantini; Mirco Peron; Filippo De Carlo; Fabio Sgarbossa (Int. J. Prod. Res., 2024)

A data-driven methodology for the periodic review of spare parts supply chain configurations. - Alessandra Cantini; Mirco Peron; Filippo De Carlo; Fabio Sgarbossa (Int. J. Prod. Res., 2024)