Zobrazeno 1 - 10
of 465
pro vyhledávání: '"C, Lupu"'
Publikováno v:
Geoscientific Model Development, Vol 14, Pp 5467-5485 (2021)
The assimilation of clear-sky radiance in the European Centre for Medium-Range Weather Forecasts (ECMWF) atmospheric analysis relies on the clear-sky radiances observation operator. Some of these radiances have frequencies that make them sensitive to
Externí odkaz:
https://doaj.org/article/cec35dcb0f844d139dd8c1ea2e5393bc
Publikováno v:
Geoscientific Model Development, Vol 14, Pp 2899-2915 (2021)
This paper describes a new gas optical depth parameterisation implemented in the most recent release, version 13, of the radiative transfer model RTTOV (Radiative Transfer for TOVS). RTTOV is a fast, one-dimensional radiative transfer model for simul
Externí odkaz:
https://doaj.org/article/3a8d31203ce54cee96447e60e129004c
Publikováno v:
IEEE Transactions on Dependable and Secure Computing. 20:1154-1168
We investigate the extent to which redundancy (including with diversity) can help mitigate the impact of cyber attacks that aim to reduce system performance. Using analytical techniques, we estimate impacts, in terms of monetary costs, of penalties f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9fd306abbbaf44f1096877a95de2bc8
https://doi.org/10.1109/tdsc.2022.3151462
https://doi.org/10.1109/tdsc.2022.3151462
Autor:
R. Saunders, J. Hocking, E. Turner, P. Rayer, D. Rundle, P. Brunel, J. Vidot, P. Roquet, M. Matricardi, A. Geer, N. Bormann, C. Lupu
Publikováno v:
Geoscientific Model Development, Vol 11, Pp 2717-2737 (2018)
This paper gives an update of the RTTOV (Radiative Transfer for TOVS) fast radiative transfer model, which is widely used in the satellite retrieval and data assimilation communities. RTTOV is a fast radiative transfer model for simulating top-of-
Externí odkaz:
https://doaj.org/article/f226f390ea114592aac4ededd6a1169e
Akademický článek
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Publikováno v:
IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids
Attacks targeting smart grid infrastructures can result in the disruptions of power supply as well as damages to costly equipment, with significant impact on safety as well as on end-consumers. It is therefore of essence to identify attack paths in t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a44fed697014b85e6a6be68070831fc
https://doi.org/10.1109/smartgridcomm52983.2022.9961003
https://doi.org/10.1109/smartgridcomm52983.2022.9961003
Publikováno v:
Artificial Neural Networks and Machine Learning-ICANN 2022
Lecture Notes in Computer Science ISBN: 9783031159336
Lecture Notes in Computer Science ISBN: 9783031159336
Deep neural networks have become an integral part of our software infrastructure and are being deployed in many widely-used and safety-critical applications. However, their integration into many systems also brings with it the vulnerability to test t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::069f3f2a91318623018a03d24d0faf1a
http://hdl.handle.net/10044/1/99620
http://hdl.handle.net/10044/1/99620
Akademický článek
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Akademický článek
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Cyber-physical systems and their smart components have a pervasive presence in all our daily activities. Unfortunately, identifying the potential threats and issues in these systems and selecting enough protection is challenging given that such envir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48eb8361999448770df1ae42359d6dfa
https://hdl.handle.net/11583/2973345
https://hdl.handle.net/11583/2973345