Sfoglia per Dipartimento Dipartimento di Fisica e Astronomia "Galileo Galilei" - DFA
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 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
Deep learning models for detection and foreseeing of epileptic seizures
2021/2022 ANTONACI, EDOARDO
Deep Tempering for Sampling Complex Energy Landscapes. Theory and Application to RNA riboswitches.
2022/2023 GIORLANDINO, ALESSIO
Densità elettronica nell'atomo di elio: approccio perturbativo e funzionale densità di Thomas-Fermi
2022/2023 FRIGATO, LORENZO
Descrizione geometrica e topologica delle teorie di gauge
2020/2021 COLOMBO, MASSIMO
Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
---|---|---|---|---|---|
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 | 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 | |
Lauree magistrali | 2021 | Deep learning models for detection and foreseeing of epileptic seizures | Deep learning models for detection and foreseeing of epileptic seizures | ANTONACI, EDOARDO | |
Lauree magistrali | 2022 | Deep Tempering for Sampling Complex Energy Landscapes. Theory and Application to RNA riboswitches. | Deep Tempering for Sampling Complex Energy Landscapes. Theory and Application to RNA riboswitches. | GIORLANDINO, ALESSIO | |
Lauree triennali | 2022 | Densità elettronica nell'atomo di elio: approccio perturbativo e funzionale densità di Thomas-Fermi | Electron density in the helium atom: perturbative and Thomas-Fermi functional density approach | FRIGATO, LORENZO | |
Lauree triennali | 2020 | Descrizione geometrica e topologica delle teorie di gauge | Geometric and topological description of gauge theories | COLOMBO, MASSIMO |
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