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pro vyhledávání: '"Parallel database"'
Akademický článek
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Akademický článek
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Autor:
Timofeeva N.E., Dmitrieva K.A.
Publikováno v:
Naučno-Tehničeskij Vestnik Brânskogo Gosudarstvennogo Universiteta, Vol 4, Iss 2, Pp 211-217 (2018)
Processing and storage of a large amount of information is one of the difficult and interesting tasks at the moment. The performance of the system as a whole depends on how well the performance and reliability of the database are implemented. One of
Externí odkaz:
https://doaj.org/article/663ec2c45b504cb4b0e776e5646a0792
Publikováno v:
Speech Communication. 133:9-22
We present a database of parallel recordings of speech and singing, collected and released by the Human Language Technology (HLT) laboratory at the National University of Singapore (NUS), that is called NUS-HLT Speak-Sing (NHSS) database. We release
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8c4dfc54e91210b313b5a187dc9e542
https://doi.org/10.1016/j.specom.2021.07.002
https://doi.org/10.1016/j.specom.2021.07.002
Autor:
Jun Cao
Publikováno v:
Scientific Programming, Vol 2021 (2021)
Information and communication technologies are well thought-out as probable assets for the development of socioeconomics in developing countries. Studies have shown that enhanced infrastructure of telecommunication has facilitated means for underserv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9013a5b9c793472d9220526cbb0426c6
https://doi.org/10.1155/2021/9921551
https://doi.org/10.1155/2021/9921551
Akademický článek
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Publikováno v:
2021 IEEE 4th International Conference on Computing, Power and Communication Technologies (GUCON).
Transliteration is the task of converting a text written in one language, called the source, to another language, called the target, by preserving the phonetic properties of the source language. The present work considers the task of transliteration
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8dab396a1b48e28cb8cc5b45d1010de
https://doi.org/10.1109/gucon50781.2021.9573841
https://doi.org/10.1109/gucon50781.2021.9573841
Publikováno v:
Proceedings of the VLDB Endowment. 12:2290-2299
In 2009 we explored the feasibility of building a hybrid SQL data analysis system that takes the best features from two competing technologies: large-scale data processing systems (such as Google MapReduce and Apache Hadoop) and parallel database man
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9d6c776e1a56d1e0691648f2e53cabb
https://doi.org/10.14778/3352063.3352145
https://doi.org/10.14778/3352063.3352145
Publikováno v:
Information Sciences. 480:237-260
As parallel database systems have large amounts of data to process, it is important to utilize a scalable and efficient horizontal database partitioning method. The existing partitioning methods have major drawbacks that not only cause large amounts
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d97a643ae1730f298f64a95303fc324
https://doi.org/10.1016/j.ins.2018.12.031
https://doi.org/10.1016/j.ins.2018.12.031
Autor:
Dingxiang Zhang
Publikováno v:
Journal of Advanced Computational Intelligence and Intelligent Informatics. 23:78-83
The traditional method cannot make predictive judgment on the future load of the system, which leads to the convergence speed in the local updating process and cause the waste of resources. Aiming at this problem, a data equalization method based on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13aedddb79c7d892cab6c01830749c37
https://doi.org/10.20965/jaciii.2019.p0078
https://doi.org/10.20965/jaciii.2019.p0078