Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Antonello Pasini"'
Autor:
Antonello Pasini, Stefano Amendola
Publikováno v:
Applied Sciences, Vol 14, Iss 5, p 2148 (2024)
Neural network models are often used to analyse non-linear systems; here, in cases of small datasets, we review our complementary approach to deep learning with the purpose of highlighting the importance and roles (linear, non-linear or threshold) of
Externí odkaz:
https://doaj.org/article/082f05704ff442628e0fd1bb7b6f49c8
Autor:
Paolo Fazzini, Marco Montuori, Antonello Pasini, Alice Cuzzucoli, Ilaria Crotti, Emilio Fortunato Campana, Francesco Petracchini, Srdjan Dobricic
Publikováno v:
Remote Sensing, Vol 15, Iss 13, p 3348 (2023)
In this study, we present a statistical forecasting framework and assess its efficacy using a range of established machine learning algorithms for predicting Particulate Matter (PM) concentrations in the Arctic, specifically in Pallas (FI), Reykjavik
Externí odkaz:
https://doaj.org/article/cf52967cab9546b394a598ca73730267
Autor:
Antonello Pasini
Publikováno v:
Philosophy Kitchen, Iss 15 (2021)
È ormai assodato come il riscaldamento globale recente (quello dell’ultimo mezzo secolo) non abbia precedenti negli ultimi duemila anni (Neukom et al., 2019) e come esso sia pilotato in grandissima parte dalle azioni umane, in termini di emissioni
Externí odkaz:
https://doaj.org/article/d5be59234a0143669916ee647a0a32b5
Autor:
Antonello Pasini, Fulvio Mazzocchi
Publikováno v:
Global Sustainability, Vol 3 (2020)
This paper investigates analogies in the dynamics of Covid-19 pandemic and climate change. A comparison of their common features (such as nonlinearity and inertia) and differences helps us to achieve a correct scientific perception of both situations
Externí odkaz:
https://doaj.org/article/b3c8ee6618bb4782ad94d3c2bca60420
Autor:
Antonietta Ianniello, Roberto Salzano, Rosamaria Salvatori, Giulio Esposito, Francesca Spataro, Mauro Montagnoli, Rosanna Mabilia, Antonello Pasini
Publikováno v:
Atmosphere, Vol 12, Iss 7, p 901 (2021)
Atmospheric measurements of nitrogen oxides (NOx = NO + NO2), ozone (O3) and other constituents were carried out during three field campaigns (29 March–30 April 2010, 1–26 April 2011, 18 May–8 October 2015) at Ny-Ålesund. The study focused on
Externí odkaz:
https://doaj.org/article/aaff768c6ee14fa8a2467394dfafb09d
Autor:
Rocco Langone, Antonello Pasini
Publikováno v:
Water, Vol 2, Iss 3, Pp 321-332 (2010)
On a regional scale, climate variability masks any direct link between external forcings and precipitation values. Thus, the problem of attribution of precipitation changes splits into two distinct steps: understanding how forcings influence circulat
Externí odkaz:
https://doaj.org/article/abefe19e875540d48dd925213dcb4239
Publikováno v:
Environmental Research Letters, Vol 7, Iss 3, p 034020 (2012)
The Sun has surely been a major external forcing to the climate system throughout the Holocene. Nevertheless, opposite trends in solar radiation and temperatures have been empirically identified in the last few decades. Here, by means of an inferenti
Externí odkaz:
https://doaj.org/article/ed994251a03246758a4d572f806edd65
Autor:
Dobricic, Paolo Fazzini, Marco Montuori, Antonello Pasini, Alice Cuzzucoli, Ilaria Crotti, Emilio Fortunato Campana, Francesco Petracchini, Srdjan
Publikováno v:
Remote Sensing; Volume 15; Issue 13; Pages: 3348
In this study, we present a statistical forecasting framework and assess its efficacy using a range of established machine learning algorithms for predicting Particulate Matter (PM) concentrations in the Arctic, specifically in Pallas (FI), Reykjavik
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::35e70e4814548f3efe386110398bba2f
Autor:
Antonello Pasini
From Observations to Simulations leads us on a fascinating journey through the methods used for the scientific analysis of complex systems such as the atmosphere and the Earth system: from meteorology and climatology, as observational sciences, to th
Publikováno v:
Climate; Volume 10; Issue 12; Pages: 193
The Sahel is one of the regions with the highest rates of food insecurity in the world. Understanding the driving factors of agricultural productivity is, therefore, essential for increasing crop yields whilst adapting to a future that will be increa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c42b9a0fcfa7817395cb1dea9defe157
https://doi.org/10.3390/cli10120193
https://doi.org/10.3390/cli10120193