Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Martha D. Ferreira"'
Publikováno v:
IEEE Access, Vol 11, Pp 18821-18837 (2023)
The oceans are a source of an impressive mixture of complex data that could be used to uncover relationships yet to be discovered. Such data comes from the oceans and their surface, such as Automatic Identification System (AIS) messages used for trac
Externí odkaz:
https://doaj.org/article/61ca7fc600054001a41db1b2e4762a9b
Publikováno v:
Journal of the Brazilian Computer Society, Vol 25, Iss 1, Pp 1-12 (2019)
Abstract In low-resource scenarios, for example, small datasets or a lack in computational resources available, state-of-the-art deep learning methods for speech recognition have been known to fail. It is possible to achieve more robust models if car
Externí odkaz:
https://doaj.org/article/dea4b94640a641d5ac7d254d8c55e79c
Publikováno v:
Information, Vol 13, Iss 8, p 368 (2022)
Knowing how to construct text-based Search Queries (SQs) for use in Search Engines (SEs) such as Google or Wikipedia has become a fundamental skill. Though much data are available through such SEs, most structured datasets live outside their scope. V
Externí odkaz:
https://doaj.org/article/decdde4b8fea4608ae81783dda1a208f
The oceans are a source of an impressive mixture of complex data that could be used to uncover relationships yet to be discovered. Such data comes from the oceans and their surface, such as Automatic Identification System (AIS) messages used for trac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b828148cd280150e42b6250ecb05531
