Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 127 for “"Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni"”.
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Adaptation in Non-Parametric State Estimation with Application to People Tracking
… systems has brought in as many challenges as disadvantages. While the integration of multiple cameras into a network has the potential advantage of fusing complementary observations from sensors and enlarging visual coverage, it also increases the complexity of tracking tasks and poses …
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Detecting Brain Effective Connectivity with Supervised and Bayesian Methods
… has drawn the attention of researchers from many different fields for centuries. In particular, nowadays causal inference is a central question in neuroscience and an entire body of research, called brain effective connectivity, is devoted to detecting causal interactions between distinct brain …
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Multimodal Personality Recognition from Audiovisual Data
… behavior analysis lies at the intersection of different social and technical research domains. The interdisciplinarity of the field, provides researchers with the means to study the manifestations of human constructs, such as personality. A branch of human behavior analyis, the study of …
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Designing Wearables for Climbing: Integrating the Practice and the Experience Perspectives of Outdoor Adventure Sports
… HCI for sport and addresses the topic of designing wearable devices for sport. To date, the design of wearables for sport has focused on the measurable aspects of performance such as speed, heartbeat and calories burnt. Such design is driven by the possibilities offered by the miniaturisation of …
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Implicit Culture Framework for behavior transfer. Definition, implementation and applications
People belong to different communities: business communities, Web 2.0 communities, religious communities, scientific communities, just to name a few. Everyone can belong to and acquire experience in more than one community. This experience is related to the community activity and comes in the form …
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Holistic Security Requirements Engineering for Socio-Technical Systems
Security has been a growing concern for large organizations, especially financial and gov- ernmental institutions, as security breaches in the systems they depend have repeatedly resulted in losses of billions per year, and this cost is on the rise. A primary reason for these breaches is the …
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Techniques for robust source separation and localization in adverse environments: Issues and performance of a new framework of emerging techniques for frequency-domain convolutive blind/semi-blind separation and localization of acoustic sources
… is a relatively recent topic of signal processing which aims to simultaneously separate many acoustic sources recorded through one or more microphones. Such a problem was formulated to emulate the natural capability of the human auditory system which is able to recognize and enhance the sound …
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Guaranteeing Communication Quality in Real World WSN Deployments
… physical one. The interaction over a wireless medium is simultaneously the technology enabler and the primary hindering factor. The complexity and variability of the behavior of low power wireless communication is one of the challenges making the design and deployment of a system based on this …
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Data mining techniques for complex application domains
… form in a number of application domains including healthcare, e- business, and e-learning. Everyday a large amount of records are stored electronically. However, finding useful information from such a large data collection is a challenging issue. Data mining technology aims automatically …
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Design techniques for high-reliability complex electronic systems
… integrate a large number of functions inside a single system. Eventually, users want to assign mission- critical or safety-critical tasks to digital systems. This kind of delegation makes reliability a major requirement for digital systems. The activities to achieve system reliability include …
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Cybersecurity for future interconnected and smart vehicles
L'abstract è presente nell'allegato / the abstract is in the attachment
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Implementation of Machine Learning Algorithms on Ultra-Low-Power Hardware for In-Sensor Inference
L'abstract è presente nell'allegato / the abstract is in the attachment
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Fusion of fingerprint presentation attacks detection and matching: a real approach from the LivDet perspective
… system cannot ignore the vulnerability to spoofing or presentation attacks (PAs), which must be addressed by effective countermeasures from the beginning of the design process. However, despite significant improvements, especially by adopting deep learning approaches to fingerprint Presentation …
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Evaluating Adversarial Robustness of Detection-based Defenses against Adversarial Examples
Machine Learning algorithms provide astonishing performance in a wide range of tasks, including sensitive and critical applications. On the other hand, it has been shown that they are vulnerable to adversarial attacks, a set of techniques that violate the integrity, confidentiality, or availability …
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Unmasking Deepfakes, Adversarial Attacks, and Mobile Users in The Deep Learning Era
… systems into society is continually increasing, thanks to their rapid solutions that are often more efficient than those of humans. Since these technologies process personal data, they need to be robust and secure. This thesis examines these crucial factors, investigating the vulnerabilities …
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The Art of Fingerprint Spoofing
The natural instinct of every human being is to want to protect themselves from their surroundings. Starting from the classic passwords required to access specific information, we moved on to safer and more accurate methods based on the specific characteristics of each user: biometrics. The first …
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Clustering analysis using Swarm Intelligence
… of the swarm intelligence methods in clustering analysis of datasets. The main objectives of the thesis are ∙ Take the advantage of a novel evolutionary algorithm, called artificial bee colony, to improve the capability of K-means in finding global optimum clusters in nonlinear partitional …
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Learning from noisy data through robust feature selection, ensembles and simulation-based optimization
… uncertainty in real scenarios makes machine learning a challenging task. Acquisition errors or missing values can lead to models that do not generalize well on new data. Under-fitting and over-fitting can occur because of feature redundancy in high-dimensional problems as well as data scarcity. In …
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Architecting Evolving Internet of Things Application
The Internet of Things paradigm has witnessed an unprecedented growth pervading every sector of the societal fabric from homes, cars, health, industry, and business. Given the technological advances witnessed in all the enabling technologies of IoT, it is now possible to connect an increasing …
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Learning to Learn Concept Descriptions
The goal of automatically encoding natural language text into some formal representation has been pursued in the field of Knowledge Engineering to support the construction of Formal Ontologies. Many \SOA{} methods have been proposed for the automatic extraction of lightweight Ontologies and to …
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