Neural radiance fields as a regularization approach to inverse volume rendering

Inverse volume rendering poses a significant challenge in reconstructing density and color functions from real-world observations, particularly due to the non injectivity of the problem. This study addresses this issue by introducing a unique criterion to ensure a well-defined solution. We explore the connection between classical regularization, as well as the selection method, and modern neural network approaches. Our methodology integrates minimum support regularization with a novel techni...

Modelling the Dynamic Impacts of Consecutive Natural Hazards: A Framework for Time-Evolving Vulnerability and Recovery Analysis

In an increasingly complex hazard landscape, understanding how physical damage evolves under multiple, interacting natural hazards has become a critical challenge for disaster risk assessment. When hazards occur simultaneously or in close succession, their combined impacts can severely compromise the physical integrity of exposed assets, often amplifying damage beyond what would be expected if each event were considered independently. Although the importance of these interactions is now ...

Graph-Based Approximation and Analysis of Traffic Data on Mobility Networks

Urban mobility is a pillar in geographical systems and smart cities. The understanding of the parts and their interrelated movement within urban regions or city networks is essential for comprehending complex spatial dynamics and making informed decisions in urban planning and traffic control. The limitations of various mobility and traffic data collection methods make it challenging to explain movement across an entire area of interest, underscoring the need for methods to approximate values...

Shaping the Developing Brain: The Impact of Environmental Factors on At-risk Paediatric Population

This doctoral thesis investigates how modifiable environmental factors influence neurodevelopment in paediatric populations with heightened neurological risk. Adopting a multidisciplinary approach, the study examines three interconnected domains: the planetary environment, the family environment, and the neonatal intensive care unit (NICU) setting. The first section evaluates the impact of climate change, specifically, temperature fluctuations, air pollution (notably PM2.5), and extreme weat...

Development of porous materials with tailored structural and functional properties

Le nanoparticelle (NPs) hanno un grande potenziale per diverse applicazioni, tra cui la catalisi, l'adsorbimento di gas e la filtrazione di aria e liquidi. Comunque, per sfruttare appieno le loro capacità è spesso necessario assemblarle in architetture funzionali di maggiori dimensioni. Tra queste strutture, le schiume solide porose offrono vantaggi unici grazie alla loro elevata area superficiale, alla bassa densità e alle strutture interconnesse. Questa ricerca di dottorato affronta lo svi...

Multifunctional Nanomaterials for Tumor Diagnosis and Treatment

A Method for High-Throughput Processing of STEM Datasets.

The quest for efficient exploration and characterisation of novel materials has prompted the development of advanced methods in synthesising and analysing nanomaterials. In this context, our research focuses on the development of routines towards automated analysis of (scanning) transmission electron microscopy ((S)TEM) datasets. To complement this, we propose the integration of a machine learning-assisted algorithm for the identification of individual nanocrystals in high annular dark field ...

Meccanismi di tumorigenesi analisi citogenetica e molecolare in neoplasie ematologiche e tumori solidi dottorato di ricerca in biologia umana basi cellulari e molecolari tesi

Sull'affidabilità dei ponti in muratura tesi per il conseguimento del titolo di dottore di ricerca