Zobrazeno 1 - 10
of 6 798
pro vyhledávání: '"Zamboni P."'
Autor:
Zamboni, Luca Q.
By a Christoffel matrix we mean a $n\times n$ matrix corresponding to the lexicographic array of a Christoffel word of length $n.$ If $R$ is an integral domain, then the product of two Christoffel matrices over $R$ is commutative and is a Christoffel
Externí odkaz:
http://arxiv.org/abs/2409.07974
The problem of pure exploration in Markov decision processes has been cast as maximizing the entropy over the state distribution induced by the agent's policy, an objective that has been extensively studied. However, little attention has been dedicat
Externí odkaz:
http://arxiv.org/abs/2406.12795
Recent works have studied *state entropy maximization* in reinforcement learning, in which the agent's objective is to learn a policy inducing high entropy over states visitation (Hazan et al., 2019). They typically assume full observability of the s
Externí odkaz:
http://arxiv.org/abs/2406.02295
Recognized for their non-diffracting properties, Bessel beams can be conveniently combined to generate the so-called Frozen Waves, which are monochromatic beams endowed with topological charge and whose longitudinal intensity pattern can be shaped ac
Externí odkaz:
http://arxiv.org/abs/2402.02828
While in linear optics the subject of structured light has been a fruitful field of both theoretical and applied research, its development in the arena of nonlinear optics has been underexplored. In this paper, we construct Frozen-Wave-type structure
Externí odkaz:
http://arxiv.org/abs/2308.13763
Autor:
Matteo Bonatti, Riccardo Valletta, Valentina Corato, Tommaso Gorgatti, Andrea Posteraro, Vincenzo Vingiani, Fabio Lombardo, Giacomo Avesani, Andrea Mega, Giulia A. Zamboni
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract Focal liver lesions are frequently encountered during imaging studies, and hemangiomas represent the most common solid liver lesion. Liver hemangiomas usually show characteristic imaging features that enable characterization without the need
Externí odkaz:
https://doaj.org/article/5df620700315456292c6ce0ae1c1c50e
Autor:
Ertunc Erdil, Anton S. Becker, Moritz Schwyzer, Borja Martinez-Tellez, Jonatan R. Ruiz, Thomas Sartoretti, H. Alberto Vargas, A. Irene Burger, Alin Chirindel, Damian Wild, Nicola Zamboni, Bart Deplancke, Vincent Gardeux, Claudia Irene Maushart, Matthias Johannes Betz, Christian Wolfrum, Ender Konukoglu
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract The standard method for identifying active Brown Adipose Tissue (BAT) is [18F]-Fluorodeoxyglucose ([18F]-FDG) PET/CT imaging, which is costly and exposes patients to radiation, making it impractical for population studies. These issues can b
Externí odkaz:
https://doaj.org/article/c805cb8195b94f0d8b4205323cae48a9
Autor:
Antonella D’Ambrosio, Silvia Zamboni, Serena Camerini, Marialuisa Casella, Massimo Sanchez, Donatella Pietraforte, Nicola Vanacore, Marco Diociauti, Marta Altieri, Vittorio Di Piero, Ada Francia, Simona Pontecorvo, Marco Puthenparampil, Paolo Gallo, Paola Margutti
Publikováno v:
Journal of Neuroinflammation, Vol 21, Iss 1, Pp 1-20 (2024)
Abstract Background and objectives There is an urgent need to discover blood-based biomarkers of multiple sclerosis (MS) to better define the underlying biology of relapses and monitor disease progression. The main goal of this study is to search for
Externí odkaz:
https://doaj.org/article/ceaf8af294be45bda7e881e56739495a
Publikováno v:
Exploration of Foods and Foodomics, Vol 2, Iss 5, Pp 443-459 (2024)
Artificial intelligence (AI) is revolutionizing plant sciences by enabling precise plant species identification, early disease diagnosis, crop yield prediction, and precision agriculture optimization. AI uses machine learning and image recognition to
Externí odkaz:
https://doaj.org/article/fd6bac8689fd46a0b29915ef1c13343a
A comparative analysis of classical and machine learning methods for forecasting TB/HIV co-infection
Autor:
André Abade, Lucas Faria Porto, Alessandro Rolim Scholze, Daniely Kuntath, Nathan da Silva Barros, Thaís Zamboni Berra, Antonio Carlos Vieira Ramos, Ricardo Alexandre Arcêncio, Josilene Dália Alves
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract TB/HIV coinfection poses a complex public health challenge. Accurate forecasting of future trends is essential for efficient resource allocation and intervention strategy development. This study compares classical statistical and machine lea
Externí odkaz:
https://doaj.org/article/93b53cc6f31e4c4db0a4396fc1f8079f