Zobrazeno 1 - 10
of 2 790
pro vyhledávání: '"Sebastianelli, A"'
Autor:
Ceschini, Andrea, Mauro, Francesco, De Falco, Francesca, Sebastianelli, Alessandro, Verdone, Alessio, Rosato, Antonello, Saux, Bertrand Le, Panella, Massimo, Gamba, Paolo, Ullo, Silvia L.
Quantum Graph Neural Networks (QGNNs) represent a novel fusion of quantum computing and Graph Neural Networks (GNNs), aimed at overcoming the computational and scalability challenges inherent in classical GNNs that are powerful tools for analyzing da
Externí odkaz:
http://arxiv.org/abs/2408.06524
Autor:
Sebastianelli, Alessandro, Mauro, Francesco, Ciabatti, Giulia, Spiller, Dario, Saux, Bertrand Le, Gamba, Paolo, Ullo, Silvia
A significant amount of remotely sensed data is generated daily by many Earth observation (EO) spaceborne and airborne sensors over different countries of our planet. Different applications use those data, such as natural hazard monitoring, global cl
Externí odkaz:
http://arxiv.org/abs/2407.17108
Autor:
De Falco, Francesca, Ceschini, Andrea, Sebastianelli, Alessandro, Saux, Bertrand Le, Panella, Massimo
Publikováno v:
KI - K\"unstliche Intelligenz, pp. 1-16, ISSN: 0933-1875, Springer Nature, Germania, August, 2024
In this paper, we propose a new methodology to design quantum hybrid diffusion models, derived from classical U-Nets with ResNet and Attention layers. Specifically, we propose two possible different hybridization schemes combining quantum computing's
Externí odkaz:
http://arxiv.org/abs/2402.16147
Autor:
Mauro, Francesco, Sebastianelli, Alessandro, Del Rosso, Maria Pia, Gamba, Paolo, Ullo, Silvia Liberata
The use of Synthetic Aperture Radar (SAR) has greatly advanced our capacity for comprehensive Earth monitoring, providing detailed insights into terrestrial surface use and cover regardless of weather conditions, and at any time of day or night. Howe
Externí odkaz:
http://arxiv.org/abs/2402.01235
Autor:
Mauro, Francesco, Sebastianelli, Alessandro, Saux, Bertrand Le, Gamba, Paolo, Ullo, Silvia Liberata
This paper explores an innovative fusion of Quantum Computing (QC) and Artificial Intelligence (AI) through the development of a Hybrid Quantum Graph Convolutional Neural Network (HQGCNN), combining a Graph Convolutional Neural Network (GCNN) with a
Externí odkaz:
http://arxiv.org/abs/2401.16049
Autor:
Russo, Luigi, Mauro, Francesco, Memar, Babak, Sebastianelli, Alessandro, Gamba, Paolo, Ullo, Silvia Liberata
Climate change is intensifying extreme weather events, causing both water scarcity and severe rainfall unpredictability, and posing threats to sustainable development, biodiversity, and access to water and sanitation. This paper aims to provide valua
Externí odkaz:
http://arxiv.org/abs/2402.00023
Autor:
Laurence Morin, Louis-Philippe Grenier, Nicolas Foucault, Éric Lévesque, François Fabi, Eve-Lyne Langlais, Alexandra Sebastianelli, Marianne Lavoie, Marc Lalancette, Marie Plante, Mahukpe Narcisse Ulrich Singbo, Vincent Castonguay
Publikováno v:
Current Oncology, Vol 31, Iss 8, Pp 4624-4631 (2024)
Weekly paclitaxel (WP) is a chemotherapeutic cornerstone in the management of patients with platinum-resistant ovarian carcinoma. Multiple WP dosing regimens have been used clinically and studied individually. However, no formal comparison of these r
Externí odkaz:
https://doaj.org/article/a676d5b9c983478eacedf9d38891e071
Autor:
Mauro, Francesco, Russo, Luigi, Janku, Fjoralba, Sebastianelli, Alessandro, Ullo, Silvia Liberata
This study aims to analyse the Nitrogen Dioxide (NO2) pollution in the Emilia Romagna Region (Northern Italy) during 2019, with the help of satellite retrievals from the Sentinel-5P mission of the European Copernicus Programme and ground-based measur
Externí odkaz:
http://arxiv.org/abs/2304.04069
Autor:
Spiller, Dario, Santin, Gabriele, Sebastianelli, Alessandro, Lucchini, Lorenzo, Gallotti, Riccardo, Lake, Brennan, Ullo, Silvia Liberata, Saux, Bertrand Le, Lepri, Bruno
COVID-19 had a strong and disruptive impact on our society, and yet further analyses on most relevant factors explaining the spread of the pandemic are needed. Interdisciplinary studies linking epidemiological, mobility, environmental, and socio-demo
Externí odkaz:
http://arxiv.org/abs/2302.14649
Autor:
Muriga, Veronica Wairimu, Rich, Benjamin, Mauro, Francesco, Sebastianelli, Alessandro, Ullo, Silvia Liberata
Climate change and increases in drought conditions affect the lives of many and are closely tied to global agricultural output and livestock production. This research presents a novel approach utilizing machine learning frameworks for drought predict
Externí odkaz:
http://arxiv.org/abs/2302.02440