Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Mauro, Annunziato"'
Publikováno v:
Techne, Iss 1 (2018)
Externí odkaz:
https://doaj.org/article/82a60768065a4da49933d2947e17978f
Publikováno v:
Journal of Systemics, Cybernetics and Informatics, Vol 4, Iss 4, Pp 36-42 (2006)
The extensive use of energy generation processes presents a severe challenge to the environment and makes indispensable to focus the research on the maximization of the energy efficiency and minimization of environmental impact like NOx and CO emissi
Externí odkaz:
https://doaj.org/article/3651f850fd18400f9ae7b8202a126920
Publikováno v:
Energy Procedia. 122:559-564
The paper presents a research project about the regeneration of an informal neighbourhood in Rome. To address the complexity of the regeneration process, the project relies on a combined top down/bottom up strategy. The project envisions the implemen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa63905421909f25a4af109855a2012d
https://doi.org/10.1016/j.egypro.2017.07.416
https://doi.org/10.1016/j.egypro.2017.07.416
Autor:
Gabriele Comodi, Stefano Pizzuti, Alessandro Fonti, Andrea Giantomassi, Mauro Annunziato, Fabio Moretti, Martin Macas, Alfredo Capra
Publikováno v:
Energy and Buildings. 111:299-310
Energy consumed in buildings represents a challenge in the context of reduction of greenhouse gases emission. For this reason and due to the growing interest in operative costs reduction the energy used by buildings (tertiary and privates) for heatin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f03bd5390b15027be91f7f2831b5524
https://doi.org/10.1016/j.enbuild.2015.11.056
https://doi.org/10.1016/j.enbuild.2015.11.056
Publikováno v:
Neurocomputing. 167:3-7
In this paper we show a hybrid modeling approach which combines Artificial Neural Networks and a simple statistical approach in order to provide a one hour forecast of urban traffic flow rates. Experimentation has been carried out on three different
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::318b5458ff88430f995bc6b8397ac766
https://doi.org/10.1016/j.neucom.2014.08.100
https://doi.org/10.1016/j.neucom.2014.08.100
Autor:
Mauro Annunziato, Piero Pierucci
Publikováno v:
Leonardo. 35:147-152
Progress in the scientific understanding and simulation of natural evolutionary mechanisms may be creating the basis for a new stage in evolution: the coming of artificial beings and artificial societies. Culture itself, aesthetics and intelligence a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53e6b16b0014295be9be765c06fb1d03
https://doi.org/10.1162/00240940252940513
https://doi.org/10.1162/00240940252940513
Autor:
Cataldo, Musto, Giovanni, Semeraro, Pasquale, Lops, Marco de Gemmis, Narducci, Fedelucio, Luciana, Bordoni, Mauro, Annunziato, Claudia, Meloni, Orsucci, Franco F., Giulia, Paoloni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3979::349197dd56a955f0ba3f2ab7de0e73da
http://hdl.handle.net/11589/215951
http://hdl.handle.net/11589/215951
Autor:
Alessandro Fonti, Stefano Pizzuti, Gabriele Comodi, Fabio Moretti, Fiorella Lauro, Martin Macas, Mauro Annunziato, Andrea Giantomassi
Publikováno v:
Adaptive and Intelligent Systems ISBN: 9783319112978
ICAIS
ICAIS
The paper demonstrates the importance of feature selection for recurrent neural network applied to problem of one hour ahead forecasting of thermal comfort for office building heated by gas. Although the accuracy of the forecasting is similar for bot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3fa631854ffe2ecbe44c4b9efeb157e5
https://doi.org/10.1007/978-3-319-11298-5_2
https://doi.org/10.1007/978-3-319-11298-5_2
Autor:
Andrea Giantomassi, Gabriele Comodi, Alessandro Fonti, Stefano Pizzuti, Fiorella Lauro, Martin Macas, Mauro Annunziato, Fabio Moretti
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319079943
SOCO-CISIS-ICEUTE
SOCO-CISIS-ICEUTE
The paper demonstrates the importance of feature selection for recurrent neural network applied to problem of one hour ahead forecasting of gas consumption for office building heating. Although the accuracy of the forecasting is similar for both the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31e6f7c0be856a78398cb911d8360ca9
https://doi.org/10.1007/978-3-319-07995-0_26
https://doi.org/10.1007/978-3-319-07995-0_26
Autor:
Stefano Pizzuti, Mauro Annunziato
Publikováno v:
International Journal of Approximate Reasoning. 22(1-2):53-71
In most of industrial applications and in the fields of scientific research phenomena are highly non-linear and/or they have high dimensionality. In such cases a model which describes exactly the phenomena is very hard to define, but often many simpl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91eada4c9becb7701a92987deca4714e