Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Maria Grazia Bonelli"'
Publikováno v:
Mathematics, Vol 9, Iss 7, p 766 (2021)
Artificial neural networks (ANNs) are a valid alternative predictive method to the traditional statistical techniques currently used in many research fields where a massive amount of data is challenging to manage. In environmental analysis, ANNs can
Externí odkaz:
https://doaj.org/article/aedb44ebf5cb4da784464e62c2b73094
Autor:
Gianni Pezzoli, Emanuele Cereda, Paolo Amami, Santo Colosimo, Michela Barichella, Giorgio Sacilotto, Anna Zecchinelli, Michela Zini, Valentina Ferri, Carlotta Bolliri, Daniela Calandrella, Maria Grazia Bonelli, Viviana Cereda, Elisa Reali, Serena Caronni, Erica Cassani, Margherita Canesi, Francesca del Sorbo, Paola Soliveri, Luigi Zecca, Catherine Klersy, Roberto Cilia, Ioannis U. Isaias
Publikováno v:
Journal of Neurology. 270:1564-1572
Objectives There is growing evidence that Parkinson’s disease and diabetes are partially related diseases; however, the association between the two, and the impact of specific treatments, are still unclear. We evaluated the effect of T2D and antidi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e90bb8b74076b228204a09405bb03b2c
https://doi.org/10.1007/s00415-022-11496-y
https://doi.org/10.1007/s00415-022-11496-y
Publikováno v:
Global NEST International Conference on Environmental Science & Technology.
Petrol stations are classified as a dangerous source of pollution for the human population due to the toxicity of emissions from evaporated vehicle fuels and fuel spillages. The contaminants released in the environment are mainly complex mixtures of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7b614eeb7ae6c62d7381ab5a3a9f023
https://doi.org/10.30955/gnc2021.00347
https://doi.org/10.30955/gnc2021.00347
Publikováno v:
Mathematics, Vol 9, Iss 766, p 766 (2021)
Mathematics
Volume 9
Issue 7
Mathematics
Volume 9
Issue 7
Artificial neural networks (ANNs) are a valid alternative predictive method to the traditional statistical techniques currently used in many research fields where a massive amount of data is challenging to manage. In environmental analysis, ANNs can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bf8d3eea61d2ebe8e158ead5a4582ae
http://hdl.handle.net/11573/1632581
http://hdl.handle.net/11573/1632581
Publikováno v:
Chemosphere. 186:124-131
The assessment of organic and inorganic contaminants in agricultural soils is a difficult challenge due to the large-scale dimensions of the areas under investigation and the great number of samples needed for analysis. On-site screening techniques,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14e342c403cdd120a9d8671ac56a18ca
https://doi.org/10.1016/j.chemosphere.2017.07.116
https://doi.org/10.1016/j.chemosphere.2017.07.116
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 289:012002
In recent years, the recovery of noble metals from WEEE (Waste Electrical and Electronics Equipment) has received great attention in the academic and industrial community since it highly contributes to decrease the cost of the recycling and/or dispos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::876cbc11ca74e04db356c0e858afbd6e
https://doi.org/10.1088/1755-1315/289/1/012002
https://doi.org/10.1088/1755-1315/289/1/012002
Autor:
Maria Grazia Bonelli, Andrea Manni
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 227:062013
Principal Component Analysis (PCA) is a statistical technique to reduce the dimension of the original dataset. This method is often used in environmental analysis to detect the pollution sources in ambient air and in soil. However, PCA results can be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8b608db9d8cad787b4848a23376ef9b
https://doi.org/10.1088/1755-1315/227/6/062013
https://doi.org/10.1088/1755-1315/227/6/062013
Publikováno v:
AIP Conference Proceedings.
The assessment of metals and organic micropollutants contamination in agricultural soils is a difficult challenge due to the extensive area used to collect and analyze a very large number of samples.With Dioxins and dioxin-like PCBs measurement metho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8baaf902a0991dd00369567fc6844770
https://doi.org/10.1063/1.4968755
https://doi.org/10.1063/1.4968755