Zobrazeno 1 - 10
of 41
pro vyhledávání: '"S. Pagnan"'
Publikováno v:
Annals of Geophysics, Vol 46, Iss 3 (2003)
This paper presents a TDEM (Time Domain Electromagnetic Methods) application, addressed to the search for water on Mars. In this context, the opportunities for a TDEM system as payload in a future mission are investigated for different in situ expl
Externí odkaz:
https://doaj.org/article/11fd50f92fe34f02aa519893e2b5a391
Publikováno v:
Annals of Geophysics, Vol 45, Iss 2 (2002)
The paper presents a study, carried out in the context of TESEO project (Sistema di prospezione TDEM per lEsplorazione Geofisica dei pianeti), for the design of a TDEM (Time Domain Electromagnetic Method) system suitable for planetary subsurface expl
Externí odkaz:
https://doaj.org/article/91bae48971ee4010b7e8c1e15edc0dd2
Publikováno v:
Coloration Technology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a25c21b560d7bd6cc76d216939eb15a
https://doi.org/10.1111/cote.12704
https://doi.org/10.1111/cote.12704
Autor:
André R. F. da Silva Rocha, Bárbara Côgo Venturim, Elena R. A. Ellwanger, Caroline S. Pagnan, Wendel B. da Silveira, José Guilherme P. Martin
Publikováno v:
Journal of basic microbiologyREFERENCES.
Bacterial cellulose has advantages over plant-derived cellulose, which make its use for industrial applications easier and more profitable. Its intrinsic properties have been stimulating the global biopolymer market, with strong growth expectations i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e30afa30ab4bb5051952b287df26ccd7
https://pubmed.ncbi.nlm.nih.gov/36336640
https://pubmed.ncbi.nlm.nih.gov/36336640
Publikováno v:
Computational optimization and applications 38 (2007): 195–216.
info:cnr-pdr/source/autori:A. Alessandri, M. Cuneo, S. Pagnan, M. Sanguineti/titolo:A recursive algorithm for nonlinear least-squares problems/doi:/rivista:Computational optimization and applications/anno:2007/pagina_da:195/pagina_a:216/intervallo_pagine:195–216/volume:38
info:cnr-pdr/source/autori:A. Alessandri, M. Cuneo, S. Pagnan, M. Sanguineti/titolo:A recursive algorithm for nonlinear least-squares problems/doi:/rivista:Computational optimization and applications/anno:2007/pagina_da:195/pagina_a:216/intervallo_pagine:195–216/volume:38
The solution of nonlinear least-squares problems is investigated. The asymptotic behavior is studied and conditions for convergence are derived. To deal with such problems in a recursive and efficient way, it is proposed an algorithm that is based on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6ea775bff5010f204e525ae8be3a89b
https://doi.org/10.1007/s10589-007-9047-7
https://doi.org/10.1007/s10589-007-9047-7
Autor:
M. Storini, F. Paolucci, R. Di Maio, Davide Del Vento, Antonio Menghini, Giuseppe Schettini, G. Tacconi, Roberto Orosei, C. Ottonello, Alessandro Galli, Anna Rita Pisani, R. Filippini, A. M. Di Lellis, G. Della Monica, Giuliano Vannaroni, S. Pagnan, A. Cereti, Stefano Orsini, Elena Pettinelli
Publikováno v:
Planetary and Space Science. 52:67-78
The authors describe the performance of a multi-sensor package designed to measure the electromagnetic properties of the subsurface during future landing missions to Mars. The package consists of a soil dielectric spectroscopy probe (SDSP), a ground
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc2a8f77e1dde1490275ed91baa5be30
https://doi.org/10.1016/j.pss.2003.07.003
https://doi.org/10.1016/j.pss.2003.07.003
Autor:
VANNARONI, G, R. FILIPPINI, A. CERETI, DELLA MONICA, Giuseppe, D. DEL VENTO, A. M. DI LELLIS, R. DI MAIO, A. GALLI, A. MENGHINI, R. OROSEI, S. ORSINI, C. OTTONELLO, S. PAGNAN, F. PAOLUCCI, SCHETTINI, Giuseppe, M. STORINI, G. TACCONI, PETTINELLI, Elena
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3668::bbd683bea3b0f57060526fb94c5757f7
https://hdl.handle.net/11590/161822
https://hdl.handle.net/11590/161822
Autor:
G. VANNARONI, R. FILIPPINI, M. STORINI, DELLA MONICA, Giuseppe, R. DI MAIO, R. OROSEI, C. OTTONELLO, G. TACCONI, S. ORSINI, S. PAGNAN, A. GALLI, SCHETTINI, Giuseppe, A. MENGHINI, A. M. DI LELLIS, D. DEL VENTO, F. PAOLUCCI, A. CERETI, A. PISANI, PETTINELLI, Elena
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3668::bc7c4f4ff6bd1cce8ceb5c41ab10c9d6
https://hdl.handle.net/11590/161823
https://hdl.handle.net/11590/161823
Publikováno v:
219 (2005): 121–130.
info:cnr-pdr/source/autori:A. Tiano, A. Zirilli, M. Cuneo, S. Pagnan/titolo:Multisensor data fusion applied to marine integrated navigation systems/doi:/rivista:/anno:2005/pagina_da:121/pagina_a:130/intervallo_pagine:121–130/volume:219
info:cnr-pdr/source/autori:A. Tiano, A. Zirilli, M. Cuneo, S. Pagnan/titolo:Multisensor data fusion applied to marine integrated navigation systems/doi:/rivista:/anno:2005/pagina_da:121/pagina_a:130/intervallo_pagine:121–130/volume:219
This paper deals with the problem of designing a flexible and accurate integrated navigation system (INS) for marine craft. The proposed INS is based on the integration of a global positioning system (GPS) with a compass and a speed log. After introd
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::283f94559e8d7967f7114e9ed311a9a2
http://www.cnr.it/prodotto/i/71090
http://www.cnr.it/prodotto/i/71090
Publikováno v:
42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).
An algorithm based on the extended Kalman filter (EKF) for optimization of parameters in neural networks is presented and a convergence analysis of the estimated parameters values to the optimal ones is made. By using results on stochastic stability
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d4a0be05f3035a73988dc9274066e40
https://doi.org/10.1109/cdc.2003.1272266
https://doi.org/10.1109/cdc.2003.1272266