Zobrazeno 1 - 10
of 95
pro vyhledávání: '"Antonio FERRAMOSCA"'
Autor:
Amalia Luque, Mirko Mazzoleni, Ana de Las Heras, Antonio Ferramosca, Fabio Previdi, Alejandro Carrasco
Publikováno v:
IEEE Access, Vol 12, Pp 169733-169747 (2024)
In this article a methodology, based on the Kano model, to prioritize the features of a product or service is proposed. Instead of using detailed, lengthy, burdensome, time-demanding, and biased-prone questionnaires, enquiring the user satisfaction w
Externí odkaz:
https://doaj.org/article/3f29da38ef734a8bad258e0773076b39
Autor:
Amalia Luque, Mirko Mazzoleni, Francisco Zamora-Polo, Antonio Ferramosca, Juan Ramon Lama, Fabio Previdi
Publikováno v:
IEEE Access, Vol 11, Pp 115430-115449 (2023)
Wine is a relevant part of the diet in many countries, showing significant nutritional properties, providing health benefits to consumers, and having a significant weight in economy. Also, wine plays an important role in many cultures as a part of th
Externí odkaz:
https://doaj.org/article/544b3a064382464eb73de16b74c72606
Publikováno v:
IEEE Access, Vol 11, Pp 51985-51996 (2023)
Agriculture accounts for approximately 70% of the world’s freshwater consumption. Furthermore, traditional irrigation practices, which rely on empirical methods, result in excessive water usage. This, in turn, leads to increased working hours for i
Externí odkaz:
https://doaj.org/article/d3f12c2884a7419298736587a2726e07
Publikováno v:
IEEE Access, Vol 10, Pp 1659-1677 (2022)
Recent developments in machine learning applications are deeply concerned with the poor interpretability of most of these techniques. To gain some insights in the process of designing data-based models it is common to graphically represent the algori
Externí odkaz:
https://doaj.org/article/e920d806388740a88930a077ebfd790e
Publikováno v:
IFAC-PapersOnLine. 56:210-215
Publikováno v:
Journal of Process Control. 117:40-51
Autor:
Ignacio J. Sánchez, Agustina D'Jorge, Alejandro C. Limache, Alejandro H. González, Antonio Ferramosca
Publikováno v:
International Journal of Robust and Nonlinear Control.
Publikováno v:
IFAC-PapersOnLine. 55:196-201
Preference-based optimization algorithms are iterative procedures that seek the optimal value for a decision variable based only on comparisons between couples of different samples. At each iteration, a human decision-maker is asked to express a pref
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be6bbb5a8d6503677ff7fb31a17ee2bf
https://hdl.handle.net/10446/244310
https://hdl.handle.net/10446/244310