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Massimiliano Barolo
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2020 – today
- 2024
- [j13]Luca Gasparini, Antonio Benedetti, Giulia Marchese, Connor Gallagher, Pierantonio Facco, Massimiliano Barolo:
On the use of machine learning to generate in-silico data for batch process monitoring under small-data scenarios. Comput. Chem. Eng. 180: 108469 (2024) - [j12]Isabella Jul-Jørgensen, Pierantonio Facco, Krist V. Gernaey, Massimiliano Barolo, Christian A. Hundahl:
Data fusion of Raman spectra in MSPC for fault detection and diagnosis in pharmaceutical manufacturing. Comput. Chem. Eng. 184: 108647 (2024) - 2022
- [j11]Francesco Destro, Zoltán K. Nagy, Massimiliano Barolo:
A benchmark simulator for quality-by-design and quality-by-control studies in continuous pharmaceutical manufacturing ‒ Intensified filtration-drying of crystallization slurries. Comput. Chem. Eng. 163: 107809 (2022)
2010 – 2019
- 2019
- [j10]Gabriele Bano, Pierantonio Facco, Marianthi Ierapetritou, Fabrizio Bezzo, Massimiliano Barolo:
Design space maintenance by online model adaptation in pharmaceutical manufacturing. Comput. Chem. Eng. 127: 254-271 (2019) - 2018
- [j9]Gabriele Bano, Zilong Wang, Pierantonio Facco, Fabrizio Bezzo, Massimiliano Barolo, Marianthi Ierapetritou:
A novel and systematic approach to identify the design space of pharmaceutical processes. Comput. Chem. Eng. 115: 309-322 (2018) - [j8]Riccardo De Luca, Martino Trabuio, Massimiliano Barolo, Fabrizio Bezzo:
Microalgae growth optimization in open ponds with uncertain weather data. Comput. Chem. Eng. 117: 410-419 (2018) - 2017
- [j7]Gabriele Bano, Pierantonio Facco, Natascia Meneghetti, Fabrizio Bezzo, Massimiliano Barolo:
Uncertainty back-propagation in PLS model inversion for design space determination in pharmaceutical product development. Comput. Chem. Eng. 101: 110-124 (2017) - 2015
- [c2]Andrea Depalo, Massimiliano Barolo, Fabrizio Bezzo, Riccardo Muradore:
Phase identification for product quality prediction in batch processes: Application to industrial resin production. ECC 2015: 3496-3501 - 2013
- [j6]Matteo Ottavian, Massimiliano Barolo, Howard C. Zisser, Eyal Dassau, Dale E. Seborg:
Adaptive blood glucose control for intensive care applications. Comput. Methods Programs Biomed. 109(2): 144-156 (2013) - [j5]Federico Galvanin, Massimiliano Barolo, Fabrizio Bezzo:
On the use of continuous glucose monitoring systems to design optimal clinical tests for the identification of type 1 diabetes models. Comput. Methods Programs Biomed. 109(2): 157-170 (2013) - 2012
- [j4]Federico Galvanin, Massimiliano Barolo, Gabriele Pannocchia, Fabrizio Bezzo:
Online model-based redesign of experiments with erratic models: A disturbance estimation approach. Comput. Chem. Eng. 42: 138-151 (2012) - 2011
- [j3]Federico Galvanin, Massimiliano Barolo, Sandro Macchietto, Fabrizio Bezzo:
Optimal design of clinical tests for the identification of physiological models of type 1 diabetes in the presence of model mismatch. Medical Biol. Eng. Comput. 49(3): 263-277 (2011)
2000 – 2009
- 2008
- [j2]Gianni Marchetti, Massimiliano Barolo, Lois Jovanovic, Howard C. Zisser, Dale E. Seborg:
An Improved PID Switching Control Strategy for Type 1 Diabetes. IEEE Trans. Biomed. Eng. 55(3): 857-865 (2008) - 2006
- [j1]Riccardo Muradore, Fabrizio Bezzo, Massimiliano Barolo:
Optimal sensor location for distributed-sensor systems using multivariate regression. Comput. Chem. Eng. 30(3): 521-534 (2006) - [c1]Gianni Marchetti, Massimiliano Barolo, Lois Jovanovic, Howard C. Zisser, Dale E. Seborg:
An Improved PID Switching Control Strategy for Type 1 Diabetes. EMBC 2006: 5041-5044
Coauthor Index
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