Tesi di dottorato 1546
Electrospun Mixed Ionic-Electronic Conductors for Energy Applications
Intermediate temperature-solid oxide fuel cells (IT-SOFCs) are under development for operation in the temperature range of 600-800°C. This intermediate temperature negatively affects the electrode kinetics and thus the cell performance, making it essential for the improvement of the electrode materials and architectures. For this reason, high-performance electrolytes and electrodes are currently under development, often based on mixed ionic electronic conductors (MIECs). Due to their ability ...
Edge Artificial Intelligence for Real-Time Target Monitoring
The key enabling technology for the exponentially growing cellular communications sector is location-based services. The need for location-aware services has increased along with the number of wireless and mobile devices. Estimation problems, and particularly parameter estimation, have drawn a lot of interest because of its relevance and engineers' ongoing need for higher performance. As applications expanded, a lot of interest was generated in the accurate assessment of temporal and spatial ...
Structures and phase equilibria in the ternary Cu-As-Sb system
The PhD focus on the determination of the ternary Cu-As-Sb phase diagram in the copperrich corner of the system (64-100 at.% Cu). There are no works carried out on the Cu-As-Sb system yet; only the respective binary systems were studied [1-6]. The starting goal was to carry out not only the study of one isothermal section (i.e.: at 500 ºC or 600 ºC), but (and more ambitiously) to perform an investigation also as a function of temperature. This system is of particular importance for extractive...
Development of new materials for next-generation astroparticle physics experiments
Materials science is a multidisciplinary approach to various fields of physics and chemistry. The choice of the proper materials is crucial during design, R&D, and construction of an experiment where construction materials are the main source of background during data taking. Keeping materials-induced background under control is a key point for rare events physics searches. In this field, the background is due to particles whose interactions with the materials of the experimental ap...
Artificial Intelligence for the Edge Computing Paradigm.
With modern technologies moving towards the internet of things where seemingly every financial, private, commercial and medical transaction being carried out by portable and intelligent devices; Machine Learning has found its way into every smart device and application possible. However, Machine Learning cannot be used on the edge directly due to the limited capabilities of small and battery-powered modules. Therefore, this thesis aims to provide light-weight automated Machine Learning models...
- Tesi di dottorato1544
- 03- Libro2
Data di pubblicazione
- Università degli studi di Genova1544
- PAA-Edizioni Antonianum1
- Settore ING-INF/06 - Bioingegneri...117
- Settore INF/01 - Informatica79
- Settore BIO/09 - Fisiologia56
- Settore FIS/07 - Fisica Applicata...37
- Settore ING-INF/05 - Sistemi di E...37
- Settore ING-INF/01 - Elettronica32
- Settore MED/38 - Pediatria Genera...30
- Settore CHIM/03 - Chimica General...28
- Settore ING-IND/22 - Scienza e Te...28
- Settore ING-IND/09 - Sistemi per ...27
- machine learning11
- Machine Learning10
- Deep Learning9
- deep learning6
- Human-Robot Interaction6
- Artificial Intelligence5
- breast cancer5
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- partially open2