Sfoglia per Relatore
Analisi della qualità del prodotto nell’industria dell’occhiale mediante tecniche di apprendimento automatico multivariato
2023/2024 NALIO, PIETRO
Applicazione di metodologie multivariate per il monitoraggio della qualità nell'industria alimentare
2022/2023 CATALANI, IVAN
Comprensione e monitoraggio di un processo continuo di precipitazione di composti metallici in acque reflue industriali mediante analisi delle componenti principali
2023/2024 BRENTEGANI, FILIPPO
Data augmentation through digital twins to support quality monitoring in the biopharmaceutical industry
2020/2021 BOTTON, ANDREA
Development of a Kaizen framework through Machine learning methodologies: the case study of San Benedetto
2025/2026 BETTIOL, MATTIA
Development of a machine learning framework for multivariate monitoring of a continuous direct compression manufacturing process
2022/2023 DAVANZO, MAURO
Development of machine learning methods for soft-sensing in resin manufacturing
2023/2024 SCRAMONCIN, DEVIS
Development of novel coatings formulations through design of experiments
2024/2025 BURATO, NICOLE
Development of Transfer Learning techniques for the scale-up of biopharmaceutical processes
2023/2024 COTALINI, LORENZO
Diagnosi delle cause di malfunzionamenti di valvole a gas mediante modelli di Machine Learning su curve di modulazione
2024/2025 POZZEBON, CHIARA
Dynamic optimization of monoclonal antibody production through reinforcement learning on hybrid models
2025/2026 LEVORATO, PIETRO
Enhancing the understanding of CHO cell culture metabolic traits through integrated first-principle modelling and data-based parameter estimation
2022/2023 TAMIAZZO, EDOARDO
Formulazione di schiume poliuretaniche rigide mediante tecniche multivariate di machine learning
2022/2023 MATTIELLO, MASSIMO
Improving the predictive ability of drug solubility in in-vitro intestinal fluids through hybrid modeling strategies
2023/2024 BRENDOLAN, MARCO
Model discovery of catalyst poisoning for ammonia synthesis through symbolic regression and kinetic parameters estimation
2025/2026 DE CAPRIO, MATTEO
Optimization of biopharmaceutical production protocols through dynamic Design of Experiment on digital twins
2020/2021 GIACOPUZZI, CHRISTIAN
Previsione e monitoraggio di inquinanti atmosferici (CO e NOx) in centrali elettriche alimentate da turbine a gas mediante metodi statistici multivariati
2022/2023 MARZOLLA, IRENE
Process understanding of the centrifugation of an active principle for the production of antibiotics through machine learning
2020/2021 SAMMARTANO, GIACOMO
Real-time monitoring of the transesterification reaction in biodiesel production
2019/2020 Barbiero, Michele
Ridefinizione dei flussi logistici di De' Longhi mediante strategia "Just In Time"
2021/2022 GUERRA, GRETA
| Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
|---|---|---|---|---|---|
| Lauree magistrali | 2023 | Analisi della qualità del prodotto nell’industria dell’occhiale mediante tecniche di apprendimento automatico multivariato | Product quality analysis in the eyewear industry using multivariate machine learning techniques | NALIO, PIETRO | |
| Lauree triennali | 2022 | Applicazione di metodologie multivariate per il monitoraggio della qualità nell'industria alimentare | Application of multivariate methodologies for quality monitoring in the food industry | CATALANI, IVAN | |
| Lauree triennali | 2023 | Comprensione e monitoraggio di un processo continuo di precipitazione di composti metallici in acque reflue industriali mediante analisi delle componenti principali | Understanding and monitoring a continuous process of metal compound precipitation in industrial wastewater using principal component analysis | BRENTEGANI, FILIPPO | |
| Lauree magistrali | 2020 | Data augmentation through digital twins to support quality monitoring in the biopharmaceutical industry | Data augmentation through digital twins to support quality monitoring in the biopharmaceutical industry | BOTTON, ANDREA | |
| Lauree magistrali | 2025 | Development of a Kaizen framework through Machine learning methodologies: the case study of San Benedetto | Development of a Kaizen framework through Machine learning methodologies: the case study of San Benedetto | BETTIOL, MATTIA | |
| Lauree magistrali | 2022 | Development of a machine learning framework for multivariate monitoring of a continuous direct compression manufacturing process | Development of a machine learning framework for multivariate monitoring of a continuous direct compression manufacturing process | DAVANZO, MAURO | |
| Lauree magistrali | 2023 | Development of machine learning methods for soft-sensing in resin manufacturing | Development of machine learning methods for soft-sensing in resin manufacturing | SCRAMONCIN, DEVIS | |
| Lauree magistrali | 2024 | Development of novel coatings formulations through design of experiments | Development of novel coatings formulations through design of experiments | BURATO, NICOLE | |
| Lauree magistrali | 2023 | Development of Transfer Learning techniques for the scale-up of biopharmaceutical processes | Development of Transfer Learning techniques for the scale-up of biopharmaceutical processes | COTALINI, LORENZO | |
| Lauree triennali | 2024 | Diagnosi delle cause di malfunzionamenti di valvole a gas mediante modelli di Machine Learning su curve di modulazione | Gas-valve malfunctions root-cause diagnosis through Machine Learning models | POZZEBON, CHIARA | |
| Lauree magistrali | 2025 | Dynamic optimization of monoclonal antibody production through reinforcement learning on hybrid models | Dynamic optimization of monoclonal antibody production through reinforcement learning on hybrid models | LEVORATO, PIETRO | |
| Lauree magistrali | 2022 | Enhancing the understanding of CHO cell culture metabolic traits through integrated first-principle modelling and data-based parameter estimation | Enhancing the understanding of CHO cell culture metabolic traits through integrated first-principle modelling and data-based parameter estimation | TAMIAZZO, EDOARDO | |
| Lauree magistrali | 2022 | Formulazione di schiume poliuretaniche rigide mediante tecniche multivariate di machine learning | Polyurethane rigid foams formulation through multivariate machine learning techniques | MATTIELLO, MASSIMO | |
| Lauree magistrali | 2023 | Improving the predictive ability of drug solubility in in-vitro intestinal fluids through hybrid modeling strategies | Improving the predictive ability of drug solubility in in-vitro intestinal fluids through hybrid modeling strategies | BRENDOLAN, MARCO | |
| Lauree magistrali | 2025 | Model discovery of catalyst poisoning for ammonia synthesis through symbolic regression and kinetic parameters estimation | Model discovery of catalyst poisoning for ammonia synthesis through symbolic regression and kinetic parameters estimation | DE CAPRIO, MATTEO | |
| Lauree magistrali | 2020 | Optimization of biopharmaceutical production protocols through dynamic Design of Experiment on digital twins | Optimization of biopharmaceutical production protocols through dynamic Design of Experiment on digital twins | GIACOPUZZI, CHRISTIAN | |
| Lauree triennali | 2022 | Previsione e monitoraggio di inquinanti atmosferici (CO e NOx) in centrali elettriche alimentate da turbine a gas mediante metodi statistici multivariati | Forecasting and monitoring air pollutants (CO and NOx) in gas-turbine-based power plants through multivariate statistical methods | MARZOLLA, IRENE | |
| Lauree magistrali | 2020 | Process understanding of the centrifugation of an active principle for the production of antibiotics through machine learning | Process understanding of the centrifugation of an active principle for the production of antibiotics through machine learning | SAMMARTANO, GIACOMO | |
| Lauree magistrali | 2019 | Real-time monitoring of the transesterification reaction in biodiesel production | - | Barbiero, Michele | |
| Lauree magistrali | 2021 | Ridefinizione dei flussi logistici di De' Longhi mediante strategia "Just In Time" | Redefinition of De' Longhi logistic flows through Just-In-Time strategy | GUERRA, GRETA |
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