UNITesi

Università degli Studi di Udine: [2307] Istituto

Sfoglia
Prodotti della tipologia (ordinati per Data di deposito in Decrescente ordine): 1 a 20 di 2.307
Istituto Anno di pubblicazione Titolo Autore file(s)
Università degli Studi di Udine 2026 Use of Artificial Intelligence systems to improve planning and navigation tools for orthopedic surgery -
Università degli Studi di Udine 2026 Metodi ibridi basati su modelli e guidati dai dati per il tracciamento dei bersagli e la fusione dei dati dei sensori -
Università degli Studi di Udine 2026 FROM HORMONES TO RESILIENCE: ENDOCRINE BIOMARKERS OF ADAPTIVE RESPONSES IN HUMANS AND ANIMALS WITHIN A ONE HEALTH FRAMEWORK -
Università degli Studi di Udine 2026 Ecophysiological Response of Maize (Zea mays L.) to Water Stress: Remote Sensing and Upscaling Techniques for a More Efficient Management of Water Resources in Agriculture -
Università degli Studi di Udine 2026 Generative AI Models and Automated Validators for Deep Learning Test Input Generation -
Università degli Studi di Udine 2026 Artificial Intelligence for Sustainable Vineyard and Forest Management under Climate Change -
Università degli Studi di Udine 2026 Investigating B cells and mast cells in the immune landscape of high-grade serous ovarian cancer -
Università degli Studi di Udine 2026 Interfering with the tumour microenvironment of glioblastoma: an in vitro study -
Università degli Studi di Udine 2026 New Aspects of Synchronous Data Flow and Distributed Development in Digital Audio: the Case of Ciaramella Programming Language -
Università degli Studi di Udine 2026 Theoretical and Experimental Investigation of Methods for Enhancing the Energy Efficiency of CO2 Reverse Cycles -
Università degli Studi di Udine 2026 Overcoming drug resistance in Luminal Breast Cancer harboring PIK3CA and TP53 alterations -
Università degli Studi di Udine 2026 Novel strategies for achieving synthetic lethality in KRAS-dependent cancers -
Università degli Studi di Udine 2026 Long term effects of high fat- high sugar diet and training on the heart of female rats -
Università degli Studi di Udine 2026 Biomarkers as individual indicators and interconnected systems: statistical approaches across clinical contexts -
Università degli Studi di Udine 2026 Advanced Design and Anomaly Detection Techniques for Inductive Position Sensors -
Università degli Studi di Udine 2026 Essays on geopolitical risk in the financial system -
Università degli Studi di Udine 2026 Transcriptomic and epigenetic dynamics during dormancy release in grapevine -
Università degli Studi di Udine 2026 La traducción jurídica en la era de la inteligencia artificial: una aproximación empírica -
Università degli Studi di Udine 2026 Genomic and Transcriptomic Determinants of Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer: Insights into Sex-Associated Differences -
Università degli Studi di Udine 2026 Rethinking sustainability in modern dairy cows systems A multi-scale assessment of enteric methane emissions -
Prodotti della tipologia (ordinati per Data di deposito in Decrescente ordine): 1 a 20 di 2.307
Legenda icone

  •  file ad accesso aperto
  •  file disponibili sulla rete interna
  •  file disponibili agli utenti autorizzati
  •  file disponibili solo agli amministratori
  •  file sotto embargo
  •  nessun file disponibile

Prodotti recenti

Use of Artificial Intelligence systems to improve planning and navigation tools for orthopedic surgery

Orthopedic surgical planning depends on the ability to extract, reconstruct, and reason over visual representations of patient anatomy. This thesis explores how modern deep learning techniques can advance each stage of this process within an industrial context, contributing to the development and extension of AI-driven tools for computer-aided surgical planning. The work spans three interconnected research directions, consolidated into four scientific contributions. The first dir...

Metodi ibridi basati su modelli e guidati dai dati per il tracciamento dei bersagli e la fusione dei dati dei sensori

La presente tesi affronta i limiti degli approcci tradizionali basati su modelli per il tracciamento dei bersagli, in particolare in scenari che coinvolgono bersagli altamente manovrabili e condizioni di misurazione incerte. Una parte significativa di questo lavoro è dedicata a un'analisi esaustiva dei metodi che integrano le reti neurali all'interno di paradigmi di stima bayesiana, evidenziandone il potenziale nel superare la rigidità dei modelli dinamici e di rumore predefiniti, pur prese...

FROM HORMONES TO RESILIENCE: ENDOCRINE BIOMARKERS OF ADAPTIVE RESPONSES IN HUMANS AND ANIMALS WITHIN A ONE HEALTH FRAMEWORK

Life, across biological systems, is characterized not by the absence of stressors but by the continuous capacity to adapt to them. Within this framework, resilience represents a dynamic, multilevel biological process that determines whether exposure to stressors results in adaptive regulation or allostatic overload. Particular attention is given to the “stress resilience signature,” conceptualized as an individual profile emerging from the dynamic interplay among endocrine, metabolic, and neu...

Ecophysiological Response of Maize (Zea mays L.) to Water Stress: Remote Sensing and Upscaling Techniques for a More Efficient Management of Water Resources in Agriculture

Climate change is reshaping agroecosystems by altering temperature and precipitation regimes, increasing the frequency of extreme events, and intensifying plant stress conditions. In maize agroecosystems these shifts not only affect plant morphophysiological traits and yield formation, but also influence plant-microbiome interactions, thereby increasing the risk of grain contamination by mycotoxins (i.e., aflatoxins and fumonisins) and potentially altering the structure and function of the rh...

Generative AI Models and Automated Validators for Deep Learning Test Input Generation

Deep learning (DL) models have achieved remarkable performance across visual recogni- tion tasks; however, their reliability under diverse and previously unseen inputs remains a major concern. Traditional testing approaches are insufficient to systematically reveal model failures when these models are deployed in real-world settings, as they often pro- duce invalid inputs (i.e., outside the classification task’s domain). This thesis addresses these challenges by advancing both the genera...

Artificial Intelligence for Sustainable Vineyard and Forest Management under Climate Change

Forests and agricultural systems play a critical role in carbon sequestration, climate regulation, and sustainable resource management. However, these systems are increasingly threatened by the im-pacts of climate change, including rising temperatures, shifting precipitation patterns, and more frequent extreme weather events. These changes disrupt key ecological processes—diminishing forest carbon-storage potential and altering phenological cycles in crops such as grapevines—thereby complicat...

Investigating B cells and mast cells in the immune landscape of high-grade serous ovarian cancer

Il carcinoma sieroso ad alto grado dell’ovaio (HGSOC) è la neoplasia ginecologica più letale, con recidiva nel 75% delle pazienti nonostante una risposta iniziale alla chemioterapia a base di platino. L’assenza di biomarcatori predittivi affidabili rende la recidiva una sfida clinica. Il microambiente tumorale (TME), composto da cellule tumorali e non tumorali, incluse le immunitarie, gioca un ruolo cruciale nella progressione e nella risposta terapeutica. Tra le componenti immunitarie, linfo...

Interfering with the tumour microenvironment of glioblastoma: an in vitro study

Glioblastoma (GBM) is the most aggressive primary malignant tumour of the central nervous system (CNS), characterized by high invasiveness, resistance to therapy and frequent recurrence. Despite the current standard treatment, including surgical resection followed by radiotherapy and chemoradiotherapy, GBM patients face poor prognosis due to therapeutic resistance and tumour recurrence. A major contributor to GBM aggressiveness is the tumour microenvironment (TME), which promotes malignancy t...

New Aspects of Synchronous Data Flow and Distributed Development in Digital Audio: the Case of Ciaramella Programming Language

A fundamental challenge in audio software engineering is the tension between expressive, high-level programming tools and the high-performance, low-level languages required for real-time audio processing. This gap often compels developers to trade the clarity and productivity of high-level abstractions for computational efficiency. This thesis confronts these challenges through a constructive research methodology, presenting a new programming ecosystem for audio Digital Signal Processing. The...

Theoretical and Experimental Investigation of Methods for Enhancing the Energy Efficiency of CO2 Reverse Cycles

The increasing need for sustainable refrigeration and heat pump tech nologies has driven significant research interest towards the use of carbon dioxide (CO2) as a refrigerant. Despite its environmental advantages, the transcritical behaviour of CO2 systems often leads to reduced efficiency, especially under warm climatic conditions. This doctoral research investi gates multiple strategies to enhance the energy performance, operational f lexibility, and economic viability of CO2-based systems...

Scopri
Istituto
  • Università degli Studi di Udine2307
Data di pubblicazione
  • 2020 - 2026528
  • 2010 - 20191091
  • 2000 - 2009575
  • 1990 - 1999110
  • 1987 - 19893
Settore disciplinare
  • Settore INF/01 - Informatica76
  • Settore AGR/15 - Scienze e Tecnol...47
  • Settore ING-INF/01 - Elettronica43
  • Settore BIO/10 - Biochimica42
  • Settore M-STO/08 - Archivistica, ...41
  • Settore L-ART/06 - Cinema, Fotogr...35
  • Settore BIO/11 - Biologia Molecolare33
  • Settore AGR/03 - Arboricoltura Ge...29
  • Settore IUS/06 - Diritto della Na...28
  • Settore ING-INF/05 - Sistemi di E...26
Accesso al fulltext
  • open1312
  • no fulltext943
  • embargoed52