UNITesi

Università degli Studi di Udine: [1354] Istituto

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Prodotti della tipologia (ordinati per Data di deposito in Decrescente ordine): 1 a 20 di 1.354
Istituto Anno di pubblicazione Titolo Autore file(s)
Università degli Studi di Udine 2025 Deep Learning Based Efficient Single Image Super Resolution -
Università degli Studi di Udine 2025 On the Role of Graphs in Quantum Computing -
Università degli Studi di Udine 2025 A journey through corporate sustainability research and practice: from sustainable business models theories to the integration of sustainability in business strategy and planning -
Università degli Studi di Udine 2025 Data and Model Privacy in Cloud Computing using Federated Learning -
Università degli Studi di Udine 2025 Thermodynamic Modeling and Molecular Dynamics Simulations of Deep Eutectic Solvents -
Università degli Studi di Udine 2025 Human-AI Collaboration in Fact-Checking -
Università degli Studi di Udine 2025 Quantum Vacuum Dynamics: Exploring The Impacts of Acceleration, Rotation and Boundaries in Interacting Quantum Field Theory -
Università degli Studi di Udine 2025 Automatic Coding of Clinical Documents: Leveraging Symbolic and Sub-Symbolic Approaches for Enhanced Interpretability and Explainability -
Università degli Studi di Udine 2025 Novel strategies for the observations of fast gamma-ray transients -
Università degli Studi di Udine 2025 Machine Learning-based Segment and Object Detection for Engineering Applications -
Università degli Studi di Udine 2025 A journey through structured populations and the numerics for their linear stability analysis -
Università degli Studi di Udine 2025 Cycling for Health and Environment: physiological responses and environmental advantages of bicycle commuting, an experimental study in the Udine area -
Università degli Studi di Udine 2025 Novel plant protein sources for the beverage sector: technological functionality, nutritional properties, sensory characteristics, and consumer acceptability -
Università degli Studi di Udine 2025 Development of an assay for the activity of Cas9 to improve the diagnostic ecosystem -
Università degli Studi di Udine 2025 Nuova mobilità condivisa ed ecosostenibile nel trasporto urbano ed extraurbano di persone -
Università degli Studi di Udine 2025 Development of environmentally friendly corrosion inhibitors for friction materials in automotive braking systems -
Università degli Studi di Udine 2025 Digital Twin Models and Novel Electromagnetic Sensors for Zero Waste Steel Production -
Università degli Studi di Udine 2025 Selective recovery of metals of technological and environmental importance from complex aqueous matrices of industrial origin -
Università degli Studi di Udine 2025 Eco-friendly mechano-chemical synthesis of innovative metal supported catalysts for energy and environmental applications -
Università degli Studi di Udine 2025 In vitro production of high-value compounds using cell suspension cultures from Coffea arabica (L.) -
Prodotti della tipologia (ordinati per Data di deposito in Decrescente ordine): 1 a 20 di 1.354
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Prodotti recenti

Deep Learning Based Efficient Single Image Super Resolution

Blind image super-resolution (Blind-SR) involves recovering a high-resolution (HR) image from its low-resolution (LR) counterpart under unknown degradation conditions. Existing approaches often rely on explicit degradation estimators that require ground-truth information about the degradation kernel, which is challenging to obtain in real-world scenarios. Implicit degradation estimators offer an alternative but typically suffer from a performance gap compared to explicit methods, particularly...

On the Role of Graphs in Quantum Computing

This thesis investigates the role of graphs in quantum computing, exploring whether their utility in classical computation—where they serve as tools for representation, optimization, and problem-solving—extends meaningfully into quantum computational paradigms. Beginning with the foundational importance of graphs in classical computing, this work examines how graphs are used to model, compress, and solve complex computational problems, particularly in contexts that benefit from their semantic...

A journey through corporate sustainability research and practice: from sustainable business models theories to the integration of sustainability in business strategy and planning

This thesis is a journey through the main studies on corporate sustainability with the intention of highlighting that every aspect of this wide-ranging discipline should not be overlooked by any firm that truly believes in sustainability and wants to pursue it with rigor and method. It all starts with an analysis of the main theories, studying their use, within the literature on sustainable business models (SBMs). In fact, the first essay involved conducting a systematic literature review th...

Data and Model Privacy in Cloud Computing using Federated Learning

In recent years, Federated Learning (FL) methods have attained popularity and impressive performance in collaborative machine learning. In this work, we discuss advances and performance achievements by the proposed methods in the field of FL. As a solution to the Gradient Leakage (GL) problem, we suggest a couple of secure FL techniques to safeguard the deep learning model and data. First, we introduce blockchain-based Swarm Learning (SL), which allows participating clients to establish a sec...

Thermodynamic Modeling and Molecular Dynamics Simulations of Deep Eutectic Solvents

Deep eutectic solvents (DES) are a novel class of environmentally friendly solvents known for their low toxicity, adjustable viscosity, and solvating capabilities, making them an interesting option for green chemistry applications. However, the fundamental thermodynamic behavior, molecular interactions, and phase equilibria of DES are not yet fully understood, presenting challenges for their systematic design and broader utilization. This thesis aims to address these gaps through an approach ...

Human-AI Collaboration in Fact-Checking

The rapid spread of misinformation in the digital age poses significant challenges to societies worldwide, influencing public perception and decision-making. Traditional fact-checking methods, whether human-based or automated, often struggle with scalability, accuracy, and bias, highlighting the need for more robust solutions. In this thesis, we explore hybrid Human-In-The-Loop (HITL) approaches that integrate Artificial Intelligence (AI), crowdsourcing, and expert inputs to optimize resource...

Quantum Vacuum Dynamics: Exploring The Impacts of Acceleration, Rotation and Boundaries in Interacting Quantum Field Theory

Quantum fluctuations and zero-point energy are cornerstones of quantum field theory, representing the ever-present quantum corrections to classical fields. These phenomena, which embody the intrinsic properties of the quantum vacuum, play a profound role in shaping the physical behaviour of a given system. This thesis investigates how these quantum contributions behave under three specific influences: acceleration, rotation, and boundaries, particularly for self-interacting fields. Mot...

Automatic Coding of Clinical Documents: Leveraging Symbolic and Sub-Symbolic Approaches for Enhanced Interpretability and Explainability

The healthcare industry is undergoing an unprecedented surge in the volume of medical data generated on a daily basis. This exponential growth is driven by several factors, including the widespread adoption of electronic health records and applications that continuously generate streams of patient data. Medical data now encompasses a diverse array of structured and unstructured formats. Considering that a significant part of medical data exists in unstructured, free-text form, data processing...

Novel strategies for the observations of fast gamma-ray transients

This thesis presents the development of innovative techniques aimed at improv- ing the detection and observation of gamma-ray transient events, with a focus on Gamma Ray Bursts (GRBs) and the electromagnetic counterparts of grav- itational wave (GW) events. These are some of the most elusive phenomena in the Universe due to their brief duration, random occurrence, and often poor localization. Their study represents the frontier of high energy astrophysics re- search, requiring advanced observ...

Machine Learning-based Segment and Object Detection for Engineering Applications

The digitization of legacy engineering drawings, created and stored on paper, is necessary to keep projects up to date and enable future alterations. Machine learning approaches emerge as tools to automate the digitization process by interpreting, classifying, and converting paper-based images into digital formats. This thesis investigates the application of various machine learning techniques to extract geometric and semantic information from railway engineering schematics and proposes a com...

Scopri
Istituto
  • Università degli Studi di Udine1354
Data di pubblicazione
  • 2020 - 2025395
  • 2011 - 2019959
Settore disciplinare
  • Settore INF/01 - Informatica34
  • Settore ING-INF/01 - Elettronica27
  • Settore BIO/10 - Biochimica25
  • Settore L-ART/06 - Cinema, Fotogr...25
  • Settore AGR/15 - Scienze e Tecnol...22
  • Settore AGR/03 - Arboricoltura Ge...21
  • Settore ING-IND/27 - Chimica Indu...18
  • Settore BIO/13 - Biologia Applicata12
  • Settore IUS/01 - Diritto Privato12
  • Settore AGR/12 - Patologia Vegetale11
Accesso al fulltext
  • open1187
  • no fulltext127
  • embargoed40