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Tesi di dottorato: [2582] Home page macrotipologia

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Tesi di dottorato 2582

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Growth and diffusion on metal nanoparticles

We study the growth of various kinds of icosahedral aggregates of metal atoms, according to a general theoretical framework, and explore mass mobility on the surfaces of these and of other metal nanoparticles.

Unlocking the potential of artificial intelligence in hydrology : Deep learning framework for snow data assimilation in S3M

Time and computational constraints often limit the retrieval of reliable snow model estimates, particularly in large-domain operational contexts. artificial intelligence–based modelling approaches can improve the representation of snow storage and dynamics, while reducing uncertainties in snow-dominated regions and enhancing assessments of water avail- ability, ecosystem functioning, and climate feedbacks, with significant societal and envi- ronmental implications. Despite this potential...

Autoencoders for Quality Control and Anomaly Detection in Smart and Autonomous Systems

Anomaly detection plays a crucial role in the evolution of modern industry, where interconnected systems, pervasive sensing, and real-time analytics are central to achieving efficiency and resilience. In recent years, deep learning has been deeply studied and widely applied in the fields due to its powerful feature learning ability. The deep learning-based detection method integrates feature learning into the process of building model, so that the model automatically learns deeper features th...

Models and methods for the optimal distribution in logistics supply chains: application to the Decathlon company

In the past decades, the vehicle routing problem has been a topic of interest to scientists, industrialists, industry owners, governments, and environmentalists, as new measures, policies, and technologies are being developed to reduce greenhouse gas emissions and, more broadly, air pollutants. This PhD, which is a joint project of the University of Genova and Decathlon Italy, aims to optimize the distribution between the final warehouses, called distribution centers, and the stores in the la...

Design, Optimisation, and Actuation of Tendon-Driven Hyper-Redundant Manipulators

Tendon-driven hyper-redundant manipulators allow safe inspection and maintenance in confined, hazardous environments by keeping actuators outside the work zone and moving through tight, cluttered spaces. However, their long tendon routings introduce friction, elasticity, and slack that often degrade performance in real-world scenarios. This thesis addresses these limitations through a complete design-to-application framework. A lightweight, 3D-printed 5-joint polymeric manipulator is deve...

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