Sfoglia per Dipartimento
Cross-correlation of the Astrophysical Stochastic Gravitational Wave Background with the Cosmic Microwave Background
2020/2021 PERNA, GABRIELE
Cross-Correlation of the Cosmic Microwave Background, Gravitational Waves and the Large-Scale Structure of the Universe
2023/2024 SCARPEL, CATERINA
Crystal and pattern formation for probes in contact with a non equilibrium system
2020/2021 TONOLO, TOMMASO
Dal "paradosso" di Einstein, Podolski e Rosen (EPR) alle disuguaglianze di Bell
2021/2022 TONEL, ALESSANDRA
Dalla dinamica del neurone alla modellizzazione dell'attività neurale di popolazione.
2022/2023 FIASCHI, GABRIELE
Dalla scoperta della radioattività alla nascita della fisica medica
2022/2023 ALBINI, FRANCESCO
Dark Matter Bounds From 21-cm Cosmology
2021/2022 CIMA, FEDERICO
Dark matter in galaxy clusters in the context of LCDM and MOND
2022/2023 KELLEHER, RUTH
Dark matter Phenomenology with Vector Portals
2022/2023 CAVALLO, MATTIA
Dark pions through the Z portal: dark Z' mediation
2022/2023 FERLA, MARCO
Data-Driven Analysis of Microbial Community Dynamics in Inflammatory Bowel Diseases
2023/2024 CHUEVA, EKATERINA
Data-driven discovery of the mechanism of systems described by partial differential equations
2022/2023 PASUPATHIPILLAI, THEIVAN
Decentramento della lente sclerale: cause e migliorie
2022/2023 CABREL, JACOPO
Deep Learning Approaches for OEE Forecasting: a Semiconductor Manufacturing Case Study
2023/2024 BONI, FILIPPO
Deep learning based methods for CMB analysis
2023/2024 PELLIZZARI, LORENZO
Deep learning for exoplanetary atmospheres analysis
2022/2023 PAGLIARO, LEONARDO
Deep Learning in Banking Risk Management: A Comparative Assessment of LSTM Network and Nelson-Siegel Stochastic Modeling
2022/2023 MARTEMUCCI, WALTER
Deep learning inference on FPGAs for the CMS Level-1 Trigger Scouting at the LHC
2021/2022 GIORGETTI, SABRINA
Deep Learning methods to study the Auxiliary Channels in the Advanced Virgo Detector
2022/2023 NEGRI, LUCA
Deep learning models for data quality classification in water systems.
2022/2023 OWEN, CHELSEA PHILIPPA JUDITH
| Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
|---|---|---|---|---|---|
| Lauree magistrali | 2020 | Cross-correlation of the Astrophysical Stochastic Gravitational Wave Background with the Cosmic Microwave Background | Cross-correlation of the Astrophysical Stochastic Gravitational Wave Background with the Cosmic Microwave Background | PERNA, GABRIELE | |
| Lauree magistrali | 2023 | Cross-Correlation of the Cosmic Microwave Background, Gravitational Waves and the Large-Scale Structure of the Universe | Cross-Correlation of the Cosmic Microwave Background, Gravitational Waves and the Large-Scale Structure of the Universe | SCARPEL, CATERINA | |
| Lauree magistrali | 2020 | Crystal and pattern formation for probes in contact with a non equilibrium system | Crystal and pattern formation for probes in contact with a non equilibrium system | TONOLO, TOMMASO | |
| Lauree triennali | 2021 | Dal "paradosso" di Einstein, Podolski e Rosen (EPR) alle disuguaglianze di Bell | From the EPR paradox to Bell's inequalities | TONEL, ALESSANDRA | |
| Lauree triennali | 2022 | Dalla dinamica del neurone alla modellizzazione dell'attività neurale di popolazione. | From the dynamics of the neuron to the modelling of population neural activity. | FIASCHI, GABRIELE | |
| Lauree triennali | 2022 | Dalla scoperta della radioattività alla nascita della fisica medica | From the discovery of radioactivity to the birth of medical physics | ALBINI, FRANCESCO | |
| Lauree magistrali | 2021 | Dark Matter Bounds From 21-cm Cosmology | Dark Matter Bounds From 21-cm Cosmology | CIMA, FEDERICO | |
| Lauree magistrali | 2022 | Dark matter in galaxy clusters in the context of LCDM and MOND | Dark matter in galaxy clusters in the context of LCDM and MOND | KELLEHER, RUTH | |
| Lauree magistrali | 2022 | Dark matter Phenomenology with Vector Portals | Dark matter Phenomenology with Vector Portals | CAVALLO, MATTIA | |
| Lauree magistrali | 2022 | Dark pions through the Z portal: dark Z' mediation | Dark pions through the Z portal: dark Z' mediation | FERLA, MARCO | |
| Lauree magistrali | 2023 | Data-Driven Analysis of Microbial Community Dynamics in Inflammatory Bowel Diseases | Data-Driven Analysis of Microbial Community Dynamics in Inflammatory Bowel Diseases | CHUEVA, EKATERINA | |
| 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 triennali | 2022 | Decentramento della lente sclerale: cause e migliorie | Scleral lens decentration: causes and improvement | CABREL, JACOPO | |
| 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 | 2023 | Deep learning based methods for CMB analysis | Metodi basati sul deep learning per l'analisi della CMB | PELLIZZARI, LORENZO | |
| Lauree magistrali | 2022 | Deep learning for exoplanetary atmospheres analysis | Deep learning for exoplanetary atmospheres analysis | PAGLIARO, LEONARDO | |
| 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 | |
| Lauree magistrali | 2021 | Deep learning inference on FPGAs for the CMS Level-1 Trigger Scouting at the LHC | Deep learning inference on FPGAs for the CMS Level-1 Trigger Scouting at the LHC | GIORGETTI, SABRINA | |
| Lauree magistrali | 2022 | Deep Learning methods to study the Auxiliary Channels in the Advanced Virgo Detector | Deep Learning methods to study the Auxiliary Channels in the Advanced Virgo Detector | NEGRI, LUCA | |
| Lauree magistrali | 2022 | Deep learning models for data quality classification in water systems. | Deep learning models for data quality classification in water systems. | OWEN, CHELSEA PHILIPPA JUDITH |
Legenda icone
- file ad accesso aperto
- file ad accesso riservato
- file sotto embargo
- nessun file disponibile