Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Victor Ungureanu"'
Publikováno v:
Machine Learning with Applications, Vol 6, Iss , Pp 100152- (2021)
Learning general-purpose representations from multisensor data produced by the omnipresent sensing systems (or IoT in general) has numerous applications in diverse use cases. Existing purely supervised end-to-end deep learning techniques depend on th
Externí odkaz:
https://doaj.org/article/7cbcdc58fa594dd1b2f976db6fa8fc04
Publikováno v:
Fiabilitate şi Durabilitate, Vol 1, Iss 5, Pp 47-50 (2010)
The combination of a filler with a polymer results in a new material with changed properties. Some of these changes are advantageous while others are less favorable. Polymeric dispersions of nanometer-sized metal particles offer the possibility of fu
Externí odkaz:
https://doaj.org/article/890c35a879d94955ad468f6814b9f419
Publikováno v:
ICASSP
In this paper we propose a lightweight model for frequency bandwidth extension of speech signals, increasing the sampling frequency from 8kHz to 16kHz while restoring the high frequency content to a level almost indistinguishable from the 16kHz groun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9456e586f93a8049e98be1b284c7ab37
https://doi.org/10.1109/icassp39728.2021.9413439
https://doi.org/10.1109/icassp39728.2021.9413439
Autor:
Natalia Osadci, Nicolae Starciuc, Igor Petcu, Nicolae Malancea, Xenia Bordos, Victor Ungureanu
Publikováno v:
“Agriculture for Life, Life for Agriculture” Conference Proceedings. 1:485-489
The investigations were aimed to establish the comparative efficiency of four disinfectants (Aquadez, Ecocide S, Virocide and Na OH) used for the disinfection of cattle farm of State Agrarian University of Moldova. According to the classical methodol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3cabbf8d335b441385d51957506c1d3e
https://doi.org/10.2478/alife-2018-0076
https://doi.org/10.2478/alife-2018-0076
Publikováno v:
Machine Learning with Applications, Vol 6, Iss, Pp 100152-(2021)
Learning general-purpose representations from multisensor data produced by the omnipresent sensing systems (or IoT in general) has numerous applications in diverse use cases. Existing purely supervised end-to-end deep learning techniques depend on th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08032a47eb3b8568e07c9cf41136c36f
https://doi.org/10.1016/j.mlwa.2021.100152
https://doi.org/10.1016/j.mlwa.2021.100152
Autor:
Monika Podsiadlo, Victor Ungureanu
Publikováno v:
INTERSPEECH
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d71c20b0b2cc98a620477e8c021ebee
https://doi.org/10.21437/interspeech.2018-2400
https://doi.org/10.21437/interspeech.2018-2400
Publikováno v:
ASME 2010 10th Biennial Conference on Engineering Systems Design and Analysis, Volume 1.
Among composites, the polymer matrix ones are the cheapest and the easiest to form but they show major disadvantages such as poor electrical and thermal conductivity, low fire resistance etc. In the case of any composite, some of the properties may b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99afd4e93901e2e49d653ed9711afb6b
https://doi.org/10.1115/esda2010-25302
https://doi.org/10.1115/esda2010-25302