Zobrazeno 1 - 10
of 328
pro vyhledávání: '"P. Silvestrin"'
Autor:
Torres-Sánchez, Pablo, Steiger, Hans Th. J., Mastinu, Pierfrancesco, Wyss, Jeffery L., Kayser, Lennard, Silvestrin, Luca, Musacchio-González, Elizabeth, Stock, Matthias Raphael, Dörflinger, David, Fahrendholz, Ulrike, Prete, Gianfranco, Carletto, Osvaldo, Oberauer, Lothar, Porras, Ignacio
Fast neutron beams are of relevance for many scientific and industrial applications. This paper explores fast neutron production using a TANDEM accelerator at the Legnaro National Laboratories, via an energetic ion beam (90 MeV $^{14}N$) onto a lithi
Externí odkaz:
http://arxiv.org/abs/2311.06143
Autor:
Xavier, Henrique S., Cortiz, Diogo, Silvestrin, Mateus, Freitas, Ana Luísa, Morello, Letícia Yumi Nakao, Pantaleão, Fernanda Naomi, Rêgo, Gabriel Gaudencio do
This paper introduces a Bayesian framework designed to measure the degree of association between categorical random variables. The method is grounded in the formal definition of variable independence and is implemented using Markov Chain Monte Carlo
Externí odkaz:
http://arxiv.org/abs/2311.05330
Coping with distributional shifts is an important part of transfer learning methods in order to perform well in real-life tasks. However, most of the existing approaches in this area either focus on an ideal scenario in which the data does not contai
Externí odkaz:
http://arxiv.org/abs/2307.08572
Autor:
Pablo Torres-Sánchez, Hans Th. J. Steiger, Pierfrancesco Mastinu, Jeffery L. Wyss, Lennard Kayser, Luca Silvestrin, Elizabeth Musacchio-González, Matthias Raphael Stock, David Dörflinger, Ulrike Fahrendholz, Gianfranco Prete, Osvaldo Carletto, Lothar Oberauer, Ignacio Porras
Publikováno v:
European Physical Journal C: Particles and Fields, Vol 84, Iss 4, Pp 1-11 (2024)
Abstract Fast neutron beams (E $$_n > $$ n > 1 MeV) are of relevance for many scientific and industrial applications. This paper explores fast neutron production using a TANDEM accelerator at the Legnaro National Laboratories, via an energetic ion be
Externí odkaz:
https://doaj.org/article/4dfb531047cf45af94f259799685646d
With the development of new sensors and monitoring devices, more sources of data become available to be used as inputs for machine learning models. These can on the one hand help to improve the accuracy of a model. On the other hand, combining these
Externí odkaz:
http://arxiv.org/abs/2202.05069
Autor:
Joana Silvestrin Zanon
Publikováno v:
Ágora, Vol 25, Iss 2, Pp 86-101 (2023)
O presente artigo aborda a Política Nacional de Desenvolvimento Regional (PNDR) a partir do marco de vinte anos da criação do Fórum de Desenvolvimento Integrado e Sustentável da Mesorregião Metade Sul do Rio Grande do Sul (Fórum da Mesosul), n
Externí odkaz:
https://doaj.org/article/6711943a37d04ccb8a6302b7550a01bf
Autor:
Nathalia Silvestrin Barbosa, Mario Sérgio da Luz, Nádia Guimarães Sousa, Kássia Graciele dos Santos
Publikováno v:
Ciência e Agrotecnologia, Vol 48 (2024)
ABSTRACT Slow-release fertilizers are sustainable alternatives to soil nutrition that can effectively enhance agricultural productivity. In this study, we formulated slow-release organomineral fertilizers using spent coffee grounds (SCG) impregnated
Externí odkaz:
https://doaj.org/article/cf8fd8df2b1c4b129e9640968d2a302a
Time-series forecasting plays an important role in many domains. Boosted by the advances in Deep Learning algorithms, it has for instance been used to predict wind power for eolic energy production, stock market fluctuations, or motor overheating. In
Externí odkaz:
http://arxiv.org/abs/2107.10709
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract Depersonalisation disorder (DPD) is a psychopathological condition characterised by a feeling of detachment from one's own body and surrounding, and it is understood as emerging from the downregulation of interoceptive afferents. However, th
Externí odkaz:
https://doaj.org/article/d3eb9889052e4b51bb96755f82b1498b
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