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pro vyhledávání: '"Arantes, Miguel"'
Autor:
Guerra, André G. C., João, André, Arantes, Miguel, Martin, Miguel, Figueiredo, Paulo, Costa, Alexander, Cecilio, Catarina M., Castelão, Inês, Lázaro, Clara, Fernandes, Joana, Marques, A., Brandão, K., Lima, P., Mashtakov, Yaroslav, Guerman, Anna, Pieper, Catharina, Martins, Ana, Fort, Burke O., Urban, Timothy J., Tapley, Byron D., Jones, Brandon A.
MAGAL lays the foundations for a future constellation of small satellites carrying radar altimeters aiming to improve the understanding of ocean circulation variability at local, regional, and global scales. All necessary tools will be developed, inc
Externí odkaz:
http://arxiv.org/abs/2211.05017
Autor:
Santos, Rute, Bertolami, Orfeu, Castanho, E., Silva, P., Costa, Alexander, Guerra, André G. C., Arantes, Miguel, Martin, Miguel, Figueiredo, Paulo, Cecilio, Catarina M., Castelão, Inês, Azevedo, L. Filipe, Faria, João, Silva, H., Fontes, Jorge, Prendergast, Sophie, Tieppo, Marcos, Pereira, Eduardo, Miranda, Tiago, Hormigo, Tiago, Cahoy, Kerri, Haughwout, Christian, Lifson, Miles, Payne, Cadence
AEROS aims to develop a nanosatellite as a precursor of a future system of systems, which will include assets and capabilities of both new and existing platforms operating in the Ocean and Space, equipped with state-of-the-art sensors and technologie
Externí odkaz:
http://arxiv.org/abs/2211.05008
Forecasting accuracy is reliant on the quality of available past data. Data disruptions can adversely affect the quality of the generated model (e.g. unexpected events such as out-of-stock products when forecasting demand). We address this problem by
Externí odkaz:
http://arxiv.org/abs/2106.13881
Autor:
Matheus Willian de Arantes Miguel, Rodrigo Paludo, Gabriel Pereira Ugucioni Rocha, Andre Maeda, Carlo Giuseppe Filippin, Rafael Martini Silva
Publikováno v:
Rio Oil and Gas Expo and Conference. 22:207-208
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::699fdf146532e7dd0d0bb156409bc8a1
https://doi.org/10.48072/2525-7579.rog.2022.207
https://doi.org/10.48072/2525-7579.rog.2022.207
Autor:
Marques, Arlindo, Lázaro, Clara, Fernandes, M. Joana, Melo, Joaquim, G. C. Guerra, André, João, André, Martin, Miguel, Arantes, Miguel, Figueiredo, Paulo, Coelho, Vitor, Borges Carvalho, Nuno, M. Cecilio, Catarina, Martins, Ana, Mashtakov, Yaroslav, Carrolo, Edgar, Fort, Burke, Tapley, Byron
The concept of a small radar altimeter constellation has already been proposed but not yet implemented due to technological limitations or high costs associated with the operation of such a constellation. Yet, some oceanic processes are still poorly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a186da473efa8f358b209ac9368d64a3
Forecasting accuracy is reliant on the quality of available past data. Data disruptions can adversely affect the quality of the generated model (e.g. unexpected events such as out-of-stock products when forecasting demand). We address this problem by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04c605666982c1d673c5bd6ded5cd7df
http://arxiv.org/abs/2106.13881
http://arxiv.org/abs/2106.13881
Publikováno v:
Smart Cities (2624-6511); Mar2022, Vol. 5 Issue 1, p251-275, 25p
Conference
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