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8a - Tesi di dottorato 4144

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Machine Learning application to IoT and IIoT security and reliability

The Internet of Things (IoT) is a network of interconnected devices and objects spanning various domains, including smart homes and industrial en- vironments. Machine learning (ML) technologies often enhance this ecosys- tem, facilitating transformative potential through automation, real-time data processing, and efficient resource management. By optimizing processes, ML algorithms provide solutions that address data management, predictive an- alytics, anomaly detection, and cybersecuri...

A WASPS REARING MODEL TO ENHANCE VINEYARD BIODIVERSITY AND ITS ROLE AS BIOINDICATOR

The primary objective of this thesis was to assess the effectiveness of a rearing method designed to support wasp colonies while preserving their natural de- velopmental processes. This method utilized common gardening pots, referred to in this study as shelters, to provide a controlled yet adaptable environment for colony establishment and management. To evaluate the method, a total of 30 Polistes dominula colonies were monitored over a four-month period (sum- mer 2022) under three distinct ...

Innovative 3D techniques for marine environmental monitoring through drone swarms

The monitoring of the human impact on the marine environment has emerged as a topic of growing interest in scientific research over recent years. Traditional methods, such as the use of oceanographic vessels, are increasingly becoming obsolete. Technological advancements have led to the introduction of solutions based on multi–vehicle autonomous marine drone systems, with the aim of reducing costs, accelerating execution times, while simultaneously expanding the monitoring area. This thesis p...

Peptide-Enriched Materials from Rapeseed Meal Protein: Structural Valorization Strategies and Properties Improvement for a Circular Economy

The agri-food industry generates substantial biowaste, often discarded or used as animal feed, yet rich in bioactive compounds with potential for a wide range of applications. This study aims to valorize rapeseed meal biowaste, a byproduct of oil production, to develop biocompatible, protein-based composites with industrial applications, supporting a shift towards a bio-based circular economy. We developed a scalable, eco-friendly protein extraction process, yielding a high-quality protein-en...

Automatic Methods for Registration of Biomedical Images

The main aim of the research project is to design a completely automatic tool for biomedical images and volumes registration. In order to achieve this objective, the alignment algorithm must be operator-independent, user-friendly, but also precise and accurate. The main advantage with respect to existing software is the fact that there is no need for any manual primary registration, especially where the initial misalignment is consistent.

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