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Mostrati risultati da 194 a 213 di 984
Tipologia Anno Titolo Titolo inglese Autore File
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
Lauree magistrali 2020 Design and characterization of the neutron-gamma detection module of the DRAGON project Design and characterization of the neutron-gamma detection module of the DRAGON project DELGADO ALVAREZ, JESSICA CAROLINA
Lauree triennali 2020 Design and development of Data Quality Monitoring protocols for the integration tests of the JUNO large PMT electronics Design and development of Data Quality Monitoring protocols for the integration tests of the JUNO large PMT electronics COPPI, ALBERTO
Lauree magistrali 2021 Detection and recognition of textual information from drug box images using deep learning and computer vision Detection and recognition of textual information from drug box images using deep learning and computer vision QUAGLIA, CAMILLA
Lauree magistrali 2021 Detector and readout studies (experimental tests and simulation) for neutron and gamma detection Detector and readout studies (experimental tests and simulation) for neutron and gamma detection NASR, OMAR HESHAM MOHAMED
Lauree magistrali 2022 Detectors development for CT applications Detectors development for CT applications CIARLANTINI, SABRINA
Lauree magistrali 2022 Determination of gas composition within ultrasonic devices Determination of gas composition within ultrasonic devices COBELLI, LEONARDO
Lauree triennali 2021 Determinazione dei parametri strutturali fotometrici della galassia lenticolare nana NGC 4640 Determination of the photometric structural parameters of the dwarf lenticular galaxy NGC 4640 SOLDÀ, MARTINA
Lauree magistrali 2021 Development and testing of a state generator for Quantum Key Distribution Development and testing of a state generator for Quantum Key Distribution COCCHI, SEBASTIANO
Lauree magistrali 2021 Development of a 1310 nm Quantum Key Distribution system Development of a 1310 nm Quantum Key Distribution system SABATINI, MATTIA
Lauree magistrali 2022 Development of a droplet microfluidic platform for Extracellular Vesicles purification from human plasma Development of a droplet microfluidic platform for Extracellular Vesicles purification from human plasma CRESTANI, BEATRICE
Lauree magistrali 2022 Development of a framework to evaluate and characterise Deep Learning models used for deep-fake detection in the identity fraud industry. Development of a framework to evaluate and characterise Deep Learning models used for deep-fake detection in the identity fraud industry. CAPETTINI CROATTO, HILARIO GABRIEL
Mostrati risultati da 194 a 213 di 984
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