FACCO, PIERANTONIO
FACCO, PIERANTONIO
Dipartimento di Ingegneria Industriale - DII
A correlative study on data from pork carcass and processed meat (Bauernspeck) for automatic estimation of chemical parameters by means of near-infrared spectroscopy
2013 L., Boschetti; Ottavian, Matteo; Facco, Pierantonio; Barolo, Massimiliano; Serva, Lorenzo; Balzan, Stefania; Novelli, Enrico
A hybrid framework for process monitoring: Enhancing data-driven methodologies with state and parameter estimation
2020 Destro, Francesco; Facco, Pierantonio; García Muñoz, Salvador; Bezzo, Fabrizio; Barolo, Massimiliano
A methodology to diagnose process/model mismatch in first-principles models
2014 Meneghetti, Natascia; Facco, Pierantonio; Bezzo, Fabrizio; Barolo, Massimiliano
A novel and systematic approach to identify the design space of pharmaceutical processes
2018 Bano, Gabriele; Wang, Zilong; Facco, Pierantonio; Bezzo, Fabrizio; Barolo, Massimiliano; Ierapetritou, Marianthi
Agricultural by-products with bioactive effects: A multivariate approach to evaluate microbial and physicochemical changes in a fresh pork sausage enriched with phenolic compounds from olive vegetation water
2016 Fasolato, Luca; Carraro, Lisa; Facco, Pierantonio; Cardazzo, Barbara; Balzan, Stefania; Taticchi, Agnese; Andreani, NADIA ANDREA; Montemurro, Filomena; Martino, MARIA ELENA; Di Lecce, Giuseppe; Toschi, Tullia Gallina; Novelli, Enrico
Artificial vision system for particle size characterization from bulk materials
2017 Facco, Pierantonio; Santomaso, ANDREA CLAUDIO; Barolo, Massimiliano
Artificial Vision System for the Automatic Measurement of Interfiber Pore Characteristics and Fiber Diameter Distribution in Nanofiber Assemblies
2010 Tomba, Emanuele; Facco, Pierantonio; Roso, Martina; Modesti, Michele; Bezzo, Fabrizio; Barolo, Massimiliano
Automatic characterization of nanofiber assemblies by image texture analysis
2010 Facco, Pierantonio; Tomba, Emanuele; Roso, Martina; Modesti, Michele; Bezzo, Fabrizio; Barolo, Massimiliano
Backstepping methodology to troubleshoot plant-wide batch processes in data-rich industrial environments
2021 Zuecco, F.; Cicciotti, M.; Facco, P.; Bezzo, F.; Barolo, M.
Bracketing the design space within the knowledge space in pharmaceutical product development
2015 Facco, Pierantonio; DAL PASTRO, FILIPPO MARIA; Meneghetti, Natascia; Bezzo, Fabrizio; Barolo, Massimiliano
Combining fundamental knowledge and latent variable techniques to transfer process monitoring models between plants
2012 Tomba, Emanuele; Facco, Pierantonio; Bezzo, Fabrizio; S., García Muñoz; Barolo, Massimiliano
Data Analytics Can Help Reduce Energy Consumption in the Industrial Manufacturing of Specialty Chemicals
2022 Sartori, F.; Zuecco, F.; Facco, P.; Bezzo, F.; Barolo, M.
Data analytics on raw material properties to accelerate pharmaceutical drug development
2019 Benedetti, Antonio; Khoo, Jiyi; Sharma, Sandeep; Facco, Pierantonio; Barolo, Massimiliano; Zomer, Simeone
Data Augmentation to Support Biopharmaceutical Process Development through Digital Models-A Proof of Concept
2022 Botton, A; Barberi, G; Facco, P
Data Fusion for Food Authentication: Fresh/Frozen–Thawed Discrimination in West African Goatfish (Pseudupeneus prayensis) Fillets
2014 Ottavian, Matteo; Fasolato, Luca; Serva, Lorenzo; Facco, Pierantonio; Barolo, Massimiliano
Data fusion of Raman spectra in MSPC for fault detection and diagnosis in pharmaceutical manufacturing
2024 Jul-Jørgensen, I.; Facco, P.; Gernaey, K. V.; Barolo, M.; Hundahl, C. A.
Data-driven modeling of milling and sieving operations in a wheat milling process
2016 DAL PASTRO, FILIPPO MARIA; Facco, Pierantonio; Bezzo, Fabrizio; Zamprogna, Eliana; Barolo, Massimiliano
Data-driven tools for the optimization of a pharmaceutical process through its knowledge-driven model
2023 Castaldello, C.; Facco, P.; Bezzo, F.; Georgakis, C.; Barolo, M.
Design space maintenance by online model adaptation in pharmaceutical manufacturing
2019 Bano, G.; Facco, P.; Ierapetritou, M.; Bezzo, F.; Barolo, M.
Digital design of new products: accounting for output correlation via a novel algebraic formulation of the latent-variable model inversion problem
2022 Arnese Feffin, E; Facco, P; Bezzo, F; Barolo, M