Zobrazeno 1 - 10
of 72 703
pro vyhledávání: '"De Luca A"'
Autor:
Caligiuri Vincenzo, Kwon Hyunah, Griesi Andrea, Ivanov Yurii P., Schirato Andrea, Alabastri Alessandro, Cuscunà Massimo, Balestra Gianluca, De Luca Antonio, Tapani Tlek, Lin Haifeng, Maccaferri Nicolò, Krahne Roman, Divitini Giorgio, Fischer Peer, Garoli Denis
Publikováno v:
Nanophotonics, Vol 13, Iss 7, Pp 1159-1167 (2024)
Nanoporous metals are a class of nanostructured materials finding extensive applications in multiple fields thanks to their unique properties attributed to their high surface area and interconnected nanoscale ligaments. They can be prepared following
Externí odkaz:
https://doaj.org/article/bac9135f364c4fa38fd0fddd32fa92f0
Publikováno v:
iForest - Biogeosciences and Forestry, Vol 16, Iss 1, Pp 361-367 (2023)
One of the most important obstacles for taking advantage of forest resources in the Italian Alps is represented by the high level of private properties fragmentation and by their small size. Thus, there is an urgent need for tools to support single o
Externí odkaz:
https://doaj.org/article/eaaf66b011f742a88e5dfc6a2b2495fa
Autor:
de Luca, Artur Back, Giapitzakis, George, Yang, Shenghao, Veličković, Petar, Fountoulakis, Kimon
There has been a growing interest in the ability of neural networks to solve algorithmic tasks, such as arithmetic, summary statistics, and sorting. While state-of-the-art models like Transformers have demonstrated good generalization performance on
Externí odkaz:
http://arxiv.org/abs/2410.01686
Autor:
Malitesta, Daniele, Medda, Giacomo, Purificato, Erasmo, Boratto, Ludovico, Malliaros, Fragkiskos D., Marras, Mirko, De Luca, Ernesto William
Diffusion-based recommender systems have recently proven to outperform traditional generative recommendation approaches, such as variational autoencoders and generative adversarial networks. Nevertheless, the machine learning literature has raised se
Externí odkaz:
http://arxiv.org/abs/2409.04339
Autor:
Carpegna, Alessio, De Luca, Chiara, Pozzi, Federico Emanuele, Savino, Alessandro, Di Carlo, Stefano, Indiveri, Giacomo, Donati, Elisa
Detecting monotonic changes in heart rate (HR) is crucial for early identification of cardiac conditions and health management. This is particularly important for dementia patients, where HR trends can signal stress or agitation. Developing wearable
Externí odkaz:
http://arxiv.org/abs/2409.02618
Detecting subsolar objects in black hole binary mergers is considered a smoking gun signature of primordial black holes. Their supposedly vanishing tidal Love number is generically thought to help distinguish them from other subsolar and more deforma
Externí odkaz:
http://arxiv.org/abs/2408.14207
The tidal Love numbers of self-gravitating compact objects describe their response to external tidal perturbations, such as those from a companion in a binary system, offering valuable insights into their internal structure. For static tidal fields,
Externí odkaz:
http://arxiv.org/abs/2408.14208
Quantum machine learning is one of the many potential applications of quantum computing, each of which is hoped to provide some novel computational advantage. However, quantum machine learning applications often fail to outperform classical approache
Externí odkaz:
http://arxiv.org/abs/2408.13109
Autor:
Tripodi Domenico, Amabile Maria Ida, Gagliardi Federica, Frusone Federico, Varanese Marzia, De Luca Alessandro, Pironi Daniele, D’ Andrea Vito, Sorrenti Salvatore, Cannistrà Claudio
Publikováno v:
Open Medicine, Vol 16, Iss 1, Pp 1028-1037 (2021)
Fournier’s gangrene is a rare form of necrotizing fasciitis that affects the genital area up to the perineal region and sometimes the abdominal wall.
Externí odkaz:
https://doaj.org/article/04942197b99145da92c023c90c0196a7
Graph Neural Networks (GNNs) have emerged as the predominant paradigm for learning from graph-structured data, offering a wide range of applications from social network analysis to bioinformatics. Despite their versatility, GNNs face challenges such
Externí odkaz:
http://arxiv.org/abs/2407.20067