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Mostrati risultati da 105 a 124 di 168
Tipologia Anno Titolo Titolo inglese Autore File
Lauree magistrali 2023 Modeling and simulation of biological processes on top of the multiscale interdependent system of C. Elegans Modeling and simulation of biological processes on top of the multiscale interdependent system of C. Elegans SBARBATI, RICCARDO
Lauree magistrali 2023 Modeling and simulation of biological processes on top of the multiscale interdependent system of Homo Sapiens Modeling and simulation of biological processes on top of the multiscale interdependent system of Homo Sapiens ALLEGRI, LUCA
Lauree magistrali 2023 Modeling energy usage in supermarkets using AI techniques. Modeling energy usage in supermarkets using AI techniques. MELLINO, DANIELE
Lauree magistrali 2023 Modelling carbon dynamics in Lagrangian oceanic ecosystems: applications to fertilization experiments and mesoscale eddies Modelling carbon dynamics in Lagrangian oceanic ecosystems: applications to fertilization experiments and mesoscale eddies CAMPAGNOLA, STEFANO
Lauree magistrali 2022 Monte Carlo Methods for Hyperparameters Handling in Bayesian Optimization for IT Configuration Autotuning Monte Carlo Methods for Hyperparameters Handling in Bayesian Optimization for IT Configuration Autotuning MANARA, NOEMI
Lauree magistrali 2023 Montecarlo Simulations of Bus Flows Montecarlo Simulations of Bus Flows ZANOLI, ALESSANDRO
Lauree magistrali 2021 Multilingual taxonomic text classification in an incremental number of languages Multilingual taxonomic text classification in an incremental number of languages CAMPESAN, GIULIA
Lauree magistrali 2023 Network Sparsity and Persona Diversity Drive Problem-Solving Capabilities of Agentic AI Systems Network Sparsity and Persona Diversity Drive Problem-Solving Capabilities of Agentic AI Systems MONTI, SEBASTIANO
Lauree magistrali 2022 ”neural connectivity: a parallel in silico and in vitro analysis ”neural connectivity: a parallel in silico and in vitro analysis NGUYEN, XUAN TUNG
Lauree magistrali 2021 Non-Abelian Tensor Network Methods for Many-body Quantum Systems Non-Abelian Tensor Network Methods for Many-body Quantum Systems CARMONA GOMEZ, JAVIER GERARDO
Lauree magistrali 2022 On the measurement of W to 3 pi with the Phase 2 L1 scouting system at CMS On the measurement of W to 3 pi with the Phase 2 L1 scouting system at CMS CAPPELLI, PIETRO
Lauree magistrali 2020 Optimal quantum gates for Rydberg atoms quantum computer Optimal quantum gates for Rydberg atoms quantum computer PAGANO, ALICE
Lauree magistrali 2024 Optimization of preparation and imaging of ultracold 39-K atoms Optimization of preparation and imaging of ultracold 39-K atoms MERLIN, GIOVANNI
Lauree magistrali 2022 Optimization of the PID algorithms at the Belle II Experiment Optimization of the PID algorithms at the Belle II Experiment BAVARCHEE, ALI
Lauree magistrali 2023 Optimizing Tree Tensor Networks for classification on hardware accelerators Optimizing Tree Tensor Networks for classification on hardware accelerators COPPI, ALBERTO
Lauree magistrali 2024 Optimizing Workforce Allocation through Reinforcement Learning: A Machine Learning Approach to Human Resource Management Optimizing Workforce Allocation through Reinforcement Learning: A Machine Learning Approach to Human Resource Management TONAZZO, VALENTINA
Lauree magistrali 2021 Out-of-distribution detection methods on deep neural network encodings of images and tabular data Out-of-distribution detection methods on deep neural network encodings of images and tabular data MISTRALI, SIMONE
Lauree magistrali 2022 Physics of epidemics on contact networks with spatial and temporal features Physics of epidemics on contact networks with spatial and temporal features BARONE, DARIO
Lauree magistrali 2024 Physics-based Machine Learning for quantifying chaos in the gravitational three-body problem Physics-based Machine Learning for quantifying the chaos in the gravitational three-body problem CACCIOLA, MARTINA
Lauree magistrali 2022 Physics-Informed Machine Learning for High-Fidelity Synthetic Data Generation Physics-Informed Machine Learning for High-Fidelity Synthetic Data Generation NINNI, DANIELE
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