UNITesi

Università degli Studi di Padova: [7664] Istituto

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Prodotti della tipologia (ordinati per Data di deposito in Decrescente ordine): 21 a 40 di 7.664
Istituto Anno di pubblicazione Titolo Autore file(s)
Università degli Studi di Padova 2025 Advanced Matrix Techniques for the Steady-State Assessment of Large Power Systems -
Università degli Studi di Padova 2025 GRADING - Improving food flavor by using a microwave smart and targeted heating -
Università degli Studi di Padova 2025 La temerarietà dell'azione penale ad Atene. Con un'appendice sulla falsa accusatio. -
Università degli Studi di Padova 2025 Verso il senso che ti indicherò. L'ermeneutica del testo di Emmanuel Levinas ai Colloques des Intellectuels juifs de langue française -
Università degli Studi di Padova 2025 L'errore giudiziario -
Università degli Studi di Padova 2025 SERVIZI SOCIALI DI INTERESSE GENERALE TRA LOGICA COMPETITIVO-CONCORRENZIALE E RINNOVATI STRUMENTI DI PARTENARIATO PUBBLICO-PRIVATO. RAPPORTI TRA CODICE DEL TERZO SETTORE E IL NUOVO CODICE DEI CONTRATTI PUBBLICI -
Università degli Studi di Padova 2025 La responsabilità civile degli enti ecclesiastici per gli abusi sessuali a danno di minori commessi da chierici. Tra diritto canonico, diritto ecclesiastico e diritto civile -
Università degli Studi di Padova 2025 DOING JUSTICE FOR PEACE. VICTIMS’ RIGHTS AND MEMORIAL JUSTICE IN THE COLOMBIAN TRANSITIONAL PROCESS -
Università degli Studi di Padova 2025 Impatto di programmi di stewardship diagnostica e antibiotica nei reparti pediatrici e nel setting delle cure primarie -
Università degli Studi di Padova 2025 Neurocognitive impairment and cerebellum in early phases of relapsing-remitting Multiple Sclerosis: A conventional, diffusion, and functional MRI study -
Università degli Studi di Padova 2025 Exploring the Contemporary Practice of Universal Criminal Jurisdiction: Institutional Frameworks and Survivors’ Access to Justice -
Università degli Studi di Padova 2025 Deciphering the Role of BAG Proteins in Medulloblastoma: From Drug Resistance to Cell Fate Regulation -
Università degli Studi di Padova 2025 Functional and structural fingerprinting for glioma characterization: a multimodal perspective -
Università degli Studi di Padova 2025 Activation of stable molecules with nanostructured oxide photocatalysts: shading light on the molecule-matter interaction with advanced characterization techniques -
Università degli Studi di Padova 2025 ASSESSMENT OF CORRELATIONS BETWEEN THE CELLULAR AND MOLECULAR FEATURES OF METASTATIC BONE MARROW NEUROBLASTOMA DISEASE, THE MORPHOLOGICAL PATTERN OF BONE MARROW INVASION AT DIAGNOSIS AND THE CLINICAL DISEASE CHARACTERISTICS -
Università degli Studi di Padova 2025 Probing Brain Networks: Perturbation Models and their Role in Understanding Brain Structure and Function -
Università degli Studi di Padova 2025 Modeling rare genetic diseases in C. elegans and Zebrafish -
Università degli Studi di Padova 2025 Identificazione in vivo di biomarcatori di vie metaboliche nell’uomo con tecniche di spettrometria di massa ad alta risoluzione -
Università degli Studi di Padova 2025 Human ADCK proteins in Coenzyme Q biosynthesis and mitochondrial homeostasis -
Università degli Studi di Padova 2025 Metabolic Adaptation as a Driver of Drug Resistance in Chemotolerant Medulloblastoma Cells -
Prodotti della tipologia (ordinati per Data di deposito in Decrescente ordine): 21 a 40 di 7.664
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Prodotti recenti

Advanced Experimental Methods for Quantum Communication

The thesis presents advancements in quantum communication, focusing on enhancing quantum key distribution (QKD) through novel device designs and experimental setups. A time-bin optical encoder, integrating state and decoy preparation within a single topology, is introduced for fiber-based QKD, achieving record-low error rates. To extend communication distances, the thesis explores the feasibility of satellite-based QKD by laying the groundwork for Hong-Ou-Mandel (HOM) interference betw...

Advanced Coherent Systems for High-Performance Fiber-Optic Communications and Distributed Acoustic Sensing

This thesis explores phase retrieval schemes and algorithms that leverage phase information in two areas: coherent fiber-optic communications and distributed fiber-optic acoustic sensing (DAS). In both fields, phase retrieval plays a critical role. In coherent optical communications, it enables the use of higher-order modulation formats and the compensation of propagation-related impairments. In DAS systems, phase retrieval is essential for extracting information about acoustic vibration from...

GaN-Based Solar Cells and Silicon Photovoltaic Modules Advanced Characterization and Modeling

This work presents and analyzes InGaN/GaN multi-quantum wells (MQWs) GaN-based solar cells, which exhibit outstanding efficiency in the blue and near-UV regions. These solar cells are promising for applications in space environments, concentrator solar systems, wireless power transmission and they can also be integrated into multi-junction (MJ) solar cells, potentially increasing the efficiency of MJ cells from the current record of ~47% to over 50%. In Chapter 4, a model is proposed to desc...

Process and Resource-aware Responsible Recommender Systems

In recent years, machine learning techniques have seen growing adoption for business improvement across various fields. Organizations are increasingly leveraging predictive models to enhance the performance of their business processes. Predictive analytics, which combines machine learning and data analytics, allows organizations to forecast the future outcomes of processes based on historical data. Its objective is to identify future trends and detect potential issues and anomalies before the...

Leveraging Deep Learning in Human Resources: A Systematic Investigation of Graph Neural Networks for Candidate-Job Matching

This dissertation explores the application of Graph Neural Networks (GNNs) to Human Resource Management (HRM), focusing on the challenge of candidate-job matching (CJM). Through theoretical contributions and applied studies, it demonstrates the potential of graph-based approaches to enhance HR analytics and personnel selection. The research addresses key questions on representing HR data using deep learning, translating it into graph structures, identifying effective GNN architectures, and ap...

Utilizzo di Large Language Models in Domini con Pochi Dati: Una Prospettiva Industriale

In recent years, there has been a significant shift toward online job postings and recruitment portals, allowing candidates to easily upload their data and documents—such as resumes and CVs—for specific job vacancies. These platforms have streamlined the application process for candidates but have also made the screening process more time-consuming and labor-intensive for recruiters. For a single job advertisement, the Human Resources (HR) department may receive a large number of applications...

Algorithmic reasoning in large language models and neuro-symbolic architectures

Rule-based systems from the tradition of artificial intelligence possess reliable reasoning capabilities, but struggle with flexibility and scalability. Conversely, modern deep learning-based systems have demonstrated impressive performance in a wide variety of tasks requiring ``fast thinking'', but lack robust reasoning capabilities. Motivated by the need to overcome these limitations, this thesis investigates the design of AI systems that can learn to reason systematically. Drawing from a r...

Design and Implementation of Free-Space QKD Systems: Challenges and Solutions for Terrestrial and Satellite Links

n the Information Age, ensuring secure communication has become a cornerstone of modern society. Quantum Key Distribution (QKD) emerges as a revolutionary technology, leveraging the principles of quantum mechanics to enable theoretically unbreakable encryption. This doctoral thesis contributes to the advancement of QKD technology by addressing key challenges in the implementation of free-space quantum communication systems across varying distances and architectures. A major focus of this rese...

Advanced Quantum Communication in Free-Space

Quantum mechanics have been the catalyst of exciting recent advances in various scientific fields, particularly in quantum computing, sensing, metrology, and communication. One of the most promising applications of the latter is information-theoretically secure communication using light. As in the classical case, the range of quantum communication over optical fibers is limited because of their inherent losses. At the same time, it is impossible, based on the principles of quantum mechanics, ...

Innovative Characterization Methods for Next Generation Optical Fibers.

The increasing demand for higher data transmission rates and more efficient systems has driven the field of optical communications to explore new technologies beyond traditional single-mode fibers. As single-mode fiber systems near their theoretical capacity limits, a phenomenon referred to as the "capacity crunch," the need for novel solutions becomes critical. Space-division multiplexing has emerged as a promising technology capable of exponentially increasing the capacity of optical commun...

Scopri
Istituto
  • Università degli Studi di Padova7664
Data di pubblicazione
  • 2020 - 20251696
  • 2010 - 20194913
  • 2000 - 20091053
  • 1996 - 19992
Settore disciplinare
  • Settore FIS/05 - Astronomia e Ast...59
  • Settore BIO/11 - Biologia Molecolare40
  • Settore ING-INF/03 - Telecomunica...35
  • Settore ING-INF/04 - Automatica32
  • Settore INF/01 - Informatica29
  • Settore ING-INF/01 - Elettronica28
  • Settore ING-INF/06 - Bioingegneri...27
  • Settore MED/38 - Pediatria Genera...27
  • Settore SECS-S/01 - Statistica27
  • Settore CHIM/02 - Chimica Fisica26
Accesso al fulltext
  • open6832
  • embargoed474
  • internalNetwork309
  • no fulltext44
  • partially open5