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Fabrizio Bezzo
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2020 – today
- 2024
- [j20]Daniel Crîstiu
, Federico d'Amore
Economic and environmental optimisation of mixed plastic waste supply chains in Northern Italy comparing incineration and pyrolysis technologies. Comput. Chem. Eng. 180: 108503 (2024) - [j19]Margherita Geremia
Targeting fidelity of pharmaceutical systems models by optimization of precision on parameter estimates. Comput. Chem. Eng. 181: 108542 (2024) - [j18]Enrico Sangoi
An optimal experimental design framework for fast kinetic model identification based on artificial neural networks. Comput. Chem. Eng. 187: 108752 (2024) - 2023
- [j17]Margherita Geremia
A novel framework for the identification of complex feasible space. Comput. Chem. Eng. 179: 108427 (2023)
2010 – 2019
- 2019
- [j16]Gabriele Bano
Design space maintenance by online model adaptation in pharmaceutical manufacturing. Comput. Chem. Eng. 127: 254-271 (2019) - [j15]Federico d'Amore
European supply chains for carbon capture, transport and sequestration, with uncertainties in geological storage capacity: Insights from economic optimisation. Comput. Chem. Eng. 129 (2019) - [j14]B. Taverna, A. Casonato, Fabrizio Bezzo, Federico Galvanin
A framework for the optimal design of a minimum set of clinical trials to characterize von Willebrand disease. Comput. Methods Programs Biomed. 179 (2019) - [j13]Riccardo De Luca, Fabrizio Bezzo
Meteorological Data-Based Optimal Control Strategy for Microalgae Cultivation in Open Pond Systems. Complex. 2019: 4363895:1-4363895:12 (2019) - 2018
- [j12]Gabriele Bano
A novel and systematic approach to identify the design space of pharmaceutical processes. Comput. Chem. Eng. 115: 309-322 (2018) - [j11]Riccardo De Luca, Martino Trabuio, Massimiliano Barolo
Microalgae growth optimization in open ponds with uncertain weather data. Comput. Chem. Eng. 117: 410-419 (2018) - 2017
- [j10]Gabriele Bano
Uncertainty back-propagation in PLS model inversion for design space determination in pharmaceutical product development. Comput. Chem. Eng. 101: 110-124 (2017) - 2016
- [j9]Federico d'Amore
Strategic optimisation of biomass-based energy supply chains for sustainable mobility. Comput. Chem. Eng. 87: 68-81 (2016) - [j8]Riccardo De Luca, Federico Galvanin
A methodology for direct exploitation of available information in the online model-based redesign of experiments. Comput. Chem. Eng. 91: 195-205 (2016) - 2015
- [c1]Andrea Depalo, Massimiliano Barolo
Phase identification for product quality prediction in batch processes: Application to industrial resin production. ECC 2015: 3496-3501 - 2013
- [j7]Federico Galvanin
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
- [j6]Federico Galvanin
Online model-based redesign of experiments with erratic models: A disturbance estimation approach. Comput. Chem. Eng. 42: 138-151 (2012) - 2011
- [j5]Sara Giarola, Andrea Zamboni, Fabrizio Bezzo
Spatially explicit multi-objective optimisation for design and planning of hybrid first and second generation biorefineries. Comput. Chem. Eng. 35(9): 1782-1797 (2011) - [j4]Federico Galvanin
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
- 2006
- [j3]Riccardo Muradore
Optimal sensor location for distributed-sensor systems using multivariate regression. Comput. Chem. Eng. 30(3): 521-534 (2006) - 2004
- [j2]Fabrizio Bezzo
A general methodology for hybrid multizonal/CFD models: Part I. Theoretical framework. Comput. Chem. Eng. 28(4): 501-511 (2004) - [j1]Fabrizio Bezzo
A general methodology for hybrid multizonal/CFD models: Part II. Automatic zoning. Comput. Chem. Eng. 28(4): 513-525 (2004)
Coauthor Index
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