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Prodotti della tipologia (ordinati per Data di deposito in Decrescente ordine): 41 a 60 di 35.246
Tipologia Anno Titolo Titolo inglese Autore File
Lauree magistrali 2025 Setting di stimolazione sensoriale potenziata e training motorio complesso: effetti sulla plasticità della barrel cortex nei modelli murini di FHM1 Impact of enriched environment combined with complex motor training on the barrel cortex in familial hemiplegic migraine type 1 mouse model. GASPARINI, ANNA
Lauree magistrali 2025 UAV-Assisted Integrated Sensing and Communication: Models, Challenges, and Perspectives UAV-Assisted Integrated Sensing and Communication: Models, Challenges, and Perspectives GARATO, FRANCESCA
Lauree magistrali 2025 Progettazione e validazione sperimentale di un sistema di monitoraggio indoor basato su radar mmWave FMCW Design and Experimental Validation of an Indoor Monitoring System Based on FMCW mmWave Radar EGIDATI, LEONARDO
Lauree magistrali 2025 From Legacy Monolith to Microservices: A Comparative Study of Manual and Tools-Assisted Decomposition Approaches From Legacy Monolith to Microservices: A Comparative Study of Manual and Tools-Assisted Decomposition Approaches CORRO', ALESSANDRO
Lauree magistrali 2025 Integrating Foundation Models and Feature-Based Neural Networks for DNA Barcoding Classification Integrating Foundation Models and Feature-Based Neural Networks for DNA Barcoding Classification CARRARO, EDDIE
Lauree magistrali 2025 Deep Reinforcement Learning for spectrum coexistence between future 6G networks and incumbent systems Deep Reinforcement Learning for spectrum coexistence between future 6G networks and incumbent systems CALABRIA, GIACOMO
Lauree magistrali 2025 An Agent-Driven Approach to Voice Interaction in Smart Commercial Ovens An Agent-Driven Approach to Voice Interaction in Smart Commercial Ovens BOSCOLO BACHETO, MARTINA
Lauree magistrali 2025 Evaluation of Shoulder Exoskeleton Misalignment on Muscle Recruitment Patterns using Computational Simulations Evaluation of Shoulder Exoskeleton Misalignment on Muscle Recruitment Patterns using Computational Simulations CORTINOVIS, LORENZO
Lauree magistrali 2025 A regression-based rapid calibration method for CEINMS-RT for lab-independent control of a bionic ankle prosthesis A regression-based rapid calibration method for CEINMS-RT for lab-independent control of a bionic ankle prosthesis LOTTI, LEONARDO
Lauree magistrali 2025 Machine Learning–Based Data Analysis for Electrochemical Biosensor Systems Machine Learning–Based Data Analysis for Electrochemical Biosensor Systems BORELLA, ELISA
Lauree magistrali 2025 EEG Representation Learning via Contrastive Embedding Alignment for Imagined Speech Decoding EEG Representation Learning via Contrastive Embedding Alignment for Imagined Speech Decoding VOLPATO, PIETRO
Lauree magistrali 2025 Predicting VNS Efficiacy on Patients with Epilepsy Predicting VNS Efficiacy on Patients with Epilepsy TELLI, OĞUZHAN
Lauree magistrali 2025 Direct Ink Writing di strutture core–shell bioattive per la sostituzione del tessuto osseo Direct Ink Writing of Bioactive Core–Shell Structures for Bone Tissue Replacement SACCON, GIORGIA
Lauree magistrali 2025 LLMs for Understanding and Preserving Historical Musical Codes: Prompt Engineering & Model Integration LLMs for Understanding and Preserving Historical Musical Codes: Prompt Engineering & Model Integration MIRGOLBABAEE, HOMAN
Lauree magistrali 2025 Development of a Machine learning driven predictive model for foot strike detection: from video sequences to Ground reaction forces prediction in ecological environments. Development of a Machine learning driven predictive model for foot strike detection: from video sequences to Ground reaction forces prediction in ecological environments. MERCURIALI, ELENA
Lauree magistrali 2025 Interaction Control for Collaborative Robots: An Adaptive Impedance-Based Approach in Contact-Rich and Uncertain Scenarios Interaction Control for Collaborative Robots: An Adaptive Impedance-Based Approach in Contact-Rich and Uncertain Scenarios GIZZARONE, MANUEL
Lauree magistrali 2025 Dynamic parameters and payload identification for industrial manipulators Dynamic parameters and payload identification for industrial manipulators DAL ZOTTO, DANIELE
Lauree magistrali 2025 From Music V Code to Graph-Based Schematic Diagrams: A Translation Model for Preserving Historical Computer Music From Music V Code to Graph-Based Schematic Diagrams: A Translation Model for Preserving Historical Computer Music CAVAZZA, DANIELE
Lauree magistrali 2025 Bayesian Learning of Impedance Control for Force-Constrained Contact Interactions: An application to Compliant Robotic Systems Bayesian Learning of Impedance Control for Force-Constrained Contact Interactions: An application to Compliant Robotic Systems CADUCEO, ANDREA
Lauree magistrali 2025 Controlled Comparison of Deep Learning Models for Yacht Image Classification Controlled Comparison of Deep Learning Models for Yacht Image Classification BIYIKLI, DOGUSCAN
Prodotti della tipologia (ordinati per Data di deposito in Decrescente ordine): 41 a 60 di 35.246
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Prodotti recenti

Stima dei parametri idromeccanici nelle dighe in terra utilizzando modelli di ordine ridotto

I recenti aumenti dei cedimenti delle dighe in terra e di decantazione evidenziano la necessità di modelli numerici in grado di interpretare in modo efficiente i dati di monitoraggio a supporto del processo decisionale relativo alla sicurezza delle dighe. Questa tesi studia una formulazione di analisi inversa per l'identificazione simultanea di parametri meccanici e idraulici nelle dighe in terra utilizzando un modello idromeccanico completamente accoppiato e osservazioni sul campo. L'elevato...

A ML approach to Financial Crime Detection: A Study on Transaction Monitoring Models in AM

AML frameworks are essential for protecting financial systems against illicit funds. This thesis focuses on Transaction Monitoring (TxM), the cornerstone of AML compliance, which involves the continuous surveillance of customer transactions to spot suspicious patterns indicative of money laundering or terrorist financing. First, we provide an overview of AML’s core components—Know Your Customer (KYC)/Customer Due Diligence (CDD), Name Screening, and Risk Rating—highlighting how TxM complement...

Analysis of the performance and explainability of different model architectures for Loss Given Default

Estimating loss given default is a fundamental requirement for credit institutions to comply with international banking regulations. This thesis presents different model architectures for estimating loss given default, using traditional statistical techniques and machine learning. Their performance was evaluated on a sample of exposures secured by mortgages on immovable property and compared with each other to identify the best architecture using evaluation metrics such as the accuracy ratio ...

Application of Atmospheric Dispersion Modelling for Optimal Siting of a Waste-to-Energy Plant in Complex Terrain: A Case Study in the Province of Trento

The Province of Trento is currently assessing the feasibility of a WtE facility to enhance the efficiency of local waste management. However, the region is characterized by deep Alpine valleys and complex meteorological conditions prone to poor atmospheric dispersion. Consequently, identifying a site that promotes optimal dispersion and minimizes pollutant accumulation is a critical environmental priority. This thesis presents a modelling procedure designed to support the decision-making proc...

Optimizing Discharge Gauging Station Placement Using Flow Regime Correlation Analysis

Stream gauging stations are artificial installations used to monitor streamflows in rivers. They provide fundamental informations about and water availability for human activities and river ecosystems. Flow-measuring stations, however, provide pontwise estimates of water resources, making sometimes difficult to chacarterize the spatial distribution of flow regimes. This is particularly true if one considers that flow-measuring stations are often unevenly distributed along river networks, and ...

Evaluation of Flood Peak Attenuation by the Monticano Detention Basin Using Hydraulic Modeling

The construction of detention basins is an effective solution for water storage and flood peak reduction in lowland areas, where riverbeds are typically characterized by mild slopes. This type of basin, usually enclosed by levees, is widely adopted in inhabited regions where naturally depressed areas are not available. This study focuses on the detention basin of the Monticano river, located in the municipality of Fontanelle and designed in 2022 by the request of the Veneto Region. This basin...

Pavimentazioni stradali sostenibili: valutazione delle prestazioni di conglomerati bituminosi a caldo composti da materiali riciclato e bitume modificato con rifiuti di plastica

This study investigates an environmentally friendly approach to assess the effect of recycling different percentages of highly heterogeneous mixed plastic waste derived from municipal sources in Milan, Italy, which is not conventionally recyclable. A reference bituminous mixture was compared with modified mixtures containing plastic waste (4% and 8% by binder weight), 25% reclaimed asphalt pavement as aggregate replacement, and combined mixtures with both materials. Plastic waste was incorpor...

Experimental Investigation of Fiber-Matrix Bond Behavior in Carbon, Basalt, and Glass Fabric-Reinforced Cementitious Matrix (FRCM) Composites.

Fabric-Reinforced Cementitious Mortar (FRCM) systems offer a promising alternative to epoxy-based Fiber-Reinforced Polymers (FRPs) for structural strengthening and repair interventions. By replacing the organic matrix with an inorganic cementitious mortar, FRCMs provide superior compatibility, vapor permeability, reversibility, and fire resistance compared to FRPs. This study investigates the bond performance of three FRCM systems: dry (uncoated) carbon and styrene-butadiene rubber (SBR) coat...

Experimental Study on the Breakwater Stability of a Fishery Harbour in Oman and Carbon Footprint Mitigation

Le strutture di difesa portuale rappresentano sistemi ingegneristici strategici in grado di svolgere diverse funzioni, quali la navigazione, il commercio, la protezione, il turismo e lo sviluppo urbano, interagendo al contempo con l’ambiente marino. Per adempiere a tali finalità, i porti devono essere progettati in modo adeguato così da garantire la stabilità strutturale e resistere alle forze idrodinamiche. La progettazione dei porti moderni deve includere e tenere conto degli aspetti ambien...

Role of humic substances in the remediation of sites contaminated by PAHs

Polycyclic aromatic hydrocarbon (PAHs) are persistent organic contaminants that are widely present in nature mostly due to anthropogenic industrial activities. Their hydrophobic nature and tendency to adsorb strongly to organic matter, cause PAHs to accumulate in solid matrices, where they are subjected to processes of ageing that reduces their bioavailability, complicating the remediation processes. Conventional remediation technologies often face limitations related to high costs, secondar...

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