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Tipologia Anno Titolo Titolo inglese Autore File
Lauree magistrali 2020 Detection of False Positives in Data Loss Prevention (DLP) Applications Using Machine Learning. Detection of False Positives in Data Loss Prevention (DLP) Applications Using Machine Learning. LEONARDS, DORENE AGATHA
Lauree magistrali 2024 Developing a Pipeline to Generate Audio from Food Images Using Combined AI Models Developing a Pipeline to Generate Audio from Food Images Using Combined AI Models BÖĞÜRCÜ, ÇAĞIN
Lauree magistrali 2023 Developing a web-based real-time communication service: an AI-enhanced chat system for veterinary assistance Developing a web-based real-time communication service: an AI-enhanced chat system for veterinary assistance ERFANIANOMIDVAR, ALI
Lauree magistrali 2024 Developing an NLP-based information retrieval tool for analysing impact of AI on EEG studies Developing an NLP-based information retrieval tool for analysing impact of AI on EEG studies KOKSA, MEHVES
Lauree magistrali 2023 Developing deep learning-based solutions for IMU time series with application in Tele-Rehabilitation Developing deep learning-based solutions for IMU time series with application in Tele-Rehabilitation URBANI, TOMMASO
Lauree magistrali 2021 Developing remote sales paradigm using Augmented Reality Developing remote sales paradigm using Augmented Reality ULAŞ, EMRE
Lauree magistrali 2023 Development and Calibration of a Graph Neural Network for Sewage Water System Development and Calibration of a Graph Neural Network for Sewage Water System TURKYENER, EGE ALP
Lauree magistrali 2022 Development and Comparison of Neural Network-based Trajectory Planners for End-to-end Autonomous Driving Development and Comparison of Neural Network-based Trajectory Planners for End-to-end Autonomous Driving VIGNAGA, MARCO
Lauree magistrali 2024 Development and Evaluation of a Shape-Matching Game for Enhancing Spatial and Cognitive Skills in Children with Visual Impairments using Processing Development and Evaluation of a Shape-Matching Game for Enhancing Spatial and Cognitive Skills in Children with Visual Impairments using Processing ÖZGEN, ALARA SELEN
Lauree magistrali 2023 Development of a deep learning model for IMU time-series segmentation for tele-rehabilitation Development of a deep learning model for IMU time-series segmentation for tele-rehabilitation CANDERLE, FILIPPO
Lauree magistrali 2022 Development of a general purpose python script for embedded NVM automated validation and characterization Development of a general purpose python script for embedded NVM automated validation and characterization AKUNURI, SUMITH
Lauree magistrali 2023 Development of a Handwriting Sonification Tablet Application to Improve Handwriting Development of a Handwriting Sonification Tablet Application to Improve Handwriting OZTURK, SAMET CAN
Lauree magistrali 2024 Development of a Python Library for the Analysis of Embedded Non-Volatile Memories Test Data Development of a Python Library for the Analysis of Embedded Non-Volatile Memories Test Data AYDOGDU, BUKET
Lauree magistrali 2023 Development of a relational database for KPI dashboard of industrial valves quality test Development of a relational database for KPI dashboard of industrial valves quality test ESPINOZA MARAZO, JOSE CARLOS
Lauree magistrali 2022 Development of a Robust Signal Coding System for Short Audio Messages Development of a Robust Signal Coding System for Short Audio Messages KOSIAKOV, ARINA
Lauree magistrali 2025 Development of a space-graded decoy-state QKD source Development of a space-graded decoy-state QKD source PROVENZANO, VIVIANA
Lauree magistrali 2021 Development of a Verification Management System for pre-silicon verification of automotive products Development of a Verification Management System for pre-silicon verification of automotive products AMBREEN, RAMSHA
Lauree magistrali 2025 Development of a Web-Based Software Platform for Converting Speech Input into Symbolic Music Notation Playable on a Disklavier Automatic Piano This thesis presents the design and implementation of a speech-to-MIDI framework for expressive automatic piano playback on a Yamaha Disklavier. The work investigates how human voice signals can be transformed into symbolic musical events through Digital Signal Processing (DSP), then reproduced acoustically through electromechanical piano actuation. The proposed system combines Short-Time Fourier Transform (STFT)-based time-frequency analysis, spectral peak detection, frequency-to-MIDI mapping, and velocity estimation to generate musically interpretable MIDI note streams from speech recordings. In addition to the core conversion pipeline, the project implements a modular software architecture with a FastAPI-based web workflow, including file upload, parameter validation, asynchronous job processing, status tracking, and MIDI download. This integration addresses both algorithmic and engineering requirements for practical use. The study is grounded in historical and artistic context, from player pianos to modern Disklavier systems, and is conceptually connected to speech-like mechanical piano practices such as Peter Ablinger’s Deus Cantando. Results demonstrate the feasibility of transforming monophonic speech into expressive symbolic piano performance, while highlighting current limitations related to transcription precision, non-stationary speech complexity, and future real-time. FATAHI, GHAZAL
Lauree magistrali 2023 Development of an Educational Video Game to Learn Critical Thinking Skills Against Disinformation Development of an Educational Video Game to Learn Critical Thinking Skills Against Disinformation TOPCU, BERKCAN
Lauree magistrali 2022 Development of an enhanced tracking and risk management platform for gold miners: integrating HW/SW technologies and geoinformational systems Development of an enhanced tracking and risk management platform for gold miners: integrating HW/SW technologies and geoinformational systems PERVYSHEVA, YELYZAVETA
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