Sfoglia per Corso
Anomaly detection of multivariate time series for industrial machinery
2023/2024 BEE, NICOLA
Anomaly detection on trigger-less muon data streams
2022/2023 LAI, NICOLÒ
Artificial neural network predicting optimal cooking program for UNOX ovens
2022/2023 FORONI, ANGELICA
Artificial Spill Generator at COMPASS
2022/2023 BORELLA, LORENZO
Bayesian Inference of the 1D Electron Density Profile within the WEST Tokamak using Interferometry
2023/2024 JORDAN, DANIEL HARLEY
Biological networks as defense against adversarial attacks.
2021/2022 ZANOLA, ANDREA
Braiding transitions and plectonemic structures in multiple-stranded chains manipulated by magnetic tweezers
2021/2022 CONFORTO, FILIPPO
Characterizing SARS-CoV-2 oncogenic features from protein-protein multilayer interaction networks
2022/2023 ZAMBELLI, FRANCESCO
CHEFTOP-X and SPEED-X ovens physical simulator for DeepCooking project
2022/2023 SINIGAGLIA, NICHOLAS
Closed-Loop Gate Optimisation via Efficient Two-Qubit Tomography for NV Centers
2021/2022 MARCOMINI, ALESSANDRO
Coexistence and diversity in a consumer resource model with a serial dilution setting
2021/2022 LIPANI, SAMUELE PIO
Combination techniques of monitoring data and model estimations of air pollutants concentration in the Veneto region
2022/2023 BURIOLA, LORENZO
Comparison of experimental and simulated beamlet deflection in a MITICA-like extraction system at BATMAN Upgrade
2020/2021 SEGALINI, BEATRICE
Complex-Valued Deep Learning for Condition Monitoring
2020/2021 PUJATTI, MATTIA
Computer vision models for multi-object visual tracking: evaluations and real-world applications
2021/2022 NICOLAI, ANDREA
Connectomics meets bio-inspired computing: analysis of the complex interplay between network structure and function
2020/2021 PUPPIN, MICHELE
Critical phenomena in multiscale empirical reaction-diffusion systems, study and implementation
2020/2021 MANISCALCO, DAVIDE
Data-driven discovery of the mechanism of systems described by partial differential equations
2022/2023 PASUPATHIPILLAI, THEIVAN
Deep Learning Approaches for OEE Forecasting: a Semiconductor Manufacturing Case Study
2023/2024 BONI, FILIPPO
Deep Learning in Banking Risk Management: A Comparative Assessment of LSTM Network and Nelson-Siegel Stochastic Modeling
2022/2023 MARTEMUCCI, WALTER
| Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
|---|---|---|---|---|---|
| Lauree magistrali | 2023 | Anomaly detection of multivariate time series for industrial machinery | Anomaly detection of multivariate time series for industrial machinery | BEE, NICOLA | |
| Lauree magistrali | 2022 | Anomaly detection on trigger-less muon data streams | Anomaly detection on trigger-less muon data streams | LAI, NICOLÒ | |
| Lauree magistrali | 2022 | Artificial neural network predicting optimal cooking program for UNOX ovens | Artificial neural network predicting optimal cooking program for UNOX ovens | FORONI, ANGELICA | |
| Lauree magistrali | 2022 | Artificial Spill Generator at COMPASS | Artificial Spill Generator at COMPASS | BORELLA, LORENZO | |
| Lauree magistrali | 2023 | Bayesian Inference of the 1D Electron Density Profile within the WEST Tokamak using Interferometry | Bayesian Inference of the 1D Electron Density Profile within the WEST Tokamak using Interferometry | JORDAN, DANIEL HARLEY | |
| Lauree magistrali | 2021 | Biological networks as defense against adversarial attacks. | Biological networks as defense against adversarial attacks. | ZANOLA, ANDREA | |
| Lauree magistrali | 2021 | Braiding transitions and plectonemic structures in multiple-stranded chains manipulated by magnetic tweezers | Braiding transitions and plectonemic structures in multiple-stranded chains manipulated by magnetic tweezers | CONFORTO, FILIPPO | |
| Lauree magistrali | 2022 | Characterizing SARS-CoV-2 oncogenic features from protein-protein multilayer interaction networks | Characterizing SARS-CoV-2 oncogenic features from protein-protein multilayer interaction networks | ZAMBELLI, FRANCESCO | |
| Lauree magistrali | 2022 | CHEFTOP-X and SPEED-X ovens physical simulator for DeepCooking project | CHEFTOP-X and SPEED-X ovens physical simulator for DeepCooking project | SINIGAGLIA, NICHOLAS | |
| Lauree magistrali | 2021 | Closed-Loop Gate Optimisation via Efficient Two-Qubit Tomography for NV Centers | Closed-Loop Gate Optimisation via Efficient Two-Qubit Tomography for NV Centers | MARCOMINI, ALESSANDRO | |
| Lauree magistrali | 2021 | Coexistence and diversity in a consumer resource model with a serial dilution setting | Coexistence and diversity in a consumer resource model with a serial dilution setting | LIPANI, SAMUELE PIO | |
| Lauree magistrali | 2022 | Combination techniques of monitoring data and model estimations of air pollutants concentration in the Veneto region | Combination techniques of monitoring data and model estimations of air pollutants concentration in the Veneto region | BURIOLA, LORENZO | |
| Lauree magistrali | 2020 | Comparison of experimental and simulated beamlet deflection in a MITICA-like extraction system at BATMAN Upgrade | Comparison of experimental and simulated beamlet deflection in a MITICA-like extraction system at BATMAN Upgrade | SEGALINI, BEATRICE | |
| Lauree magistrali | 2020 | Complex-Valued Deep Learning for Condition Monitoring | Complex-Valued Deep Learning for Condition Monitoring | PUJATTI, MATTIA | |
| Lauree magistrali | 2021 | Computer vision models for multi-object visual tracking: evaluations and real-world applications | Computer vision models for multi-object visual tracking: evaluations and real-world applications | NICOLAI, ANDREA | |
| Lauree magistrali | 2020 | Connectomics meets bio-inspired computing: analysis of the complex interplay between network structure and function | Connectomics meets bio-inspired computing: analysis of the complex interplay between network structure and function | PUPPIN, MICHELE | |
| Lauree magistrali | 2020 | Critical phenomena in multiscale empirical reaction-diffusion systems, study and implementation | Critical phenomena in multiscale empirical reaction-diffusion systems, study and implementation | MANISCALCO, DAVIDE | |
| Lauree magistrali | 2022 | Data-driven discovery of the mechanism of systems described by partial differential equations | Data-driven discovery of the mechanism of systems described by partial differential equations | PASUPATHIPILLAI, THEIVAN | |
| Lauree magistrali | 2023 | Deep Learning Approaches for OEE Forecasting: a Semiconductor Manufacturing Case Study | Deep Learning Approaches for OEE Forecasting: a Semiconductor Manufacturing Case Study | BONI, FILIPPO | |
| Lauree magistrali | 2022 | Deep Learning in Banking Risk Management: A Comparative Assessment of LSTM Network and Nelson-Siegel Stochastic Modeling | Deep Learning in Banking Risk Management: A Comparative Assessment of LSTM Network and Nelson-Siegel Stochastic Modeling | MARTEMUCCI, WALTER |
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